Dataset statistics

Number of variables123
Number of observations2717
Missing cells168587
Missing cells (%)50.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory984.0 B

Variable types

CAT60
BOOL39
NUM11
UNSUPPORTED10
DATE3

Warnings

YEAR has constant value "2717" Constant
VIRTUAL_EVENT_ENGAGEMENT_COUNT has constant value "2717" Constant
APPLICATION_COMMON_APP_ID has a high cardinality: 2705 distinct values High cardinality
PERSON_CU_SIS_ID has a high cardinality: 2715 distinct values High cardinality
PERSON_BIRTHDATE has a high cardinality: 585 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 2705 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 1053 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 374 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 73 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 2690 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 1488 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 800 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 1493 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 1689 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 61 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 1151 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 69 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 170 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 71 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 1572 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 666 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 757 distinct values High cardinality
HS_NCES_ID has a high cardinality: 1287 distinct values High cardinality
HS_NAME has a high cardinality: 1248 distinct values High cardinality
HS_ZIP has a high cardinality: 979 distinct values High cardinality
HS_ADDRESS has a high cardinality: 1035 distinct values High cardinality
HS_CEEB has a high cardinality: 1289 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 2647 (97.4%) missing values Missing
ETHNICITY has 38 (1.4%) missing values Missing
ADDRESS_COUNTY has 39 (1.4%) missing values Missing
PERSON_HOME_SCHOOL has 2712 (99.8%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 1194 (43.9%) missing values Missing
PERSON_SATI_MAX_TOTAL has 2710 (99.7%) missing values Missing
PERSON_SATR_MAX_COMPS has 1023 (37.7%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 2619 (96.4%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 2353 (86.6%) missing values Missing
PARENT_CU_ATTENDANCE has 2696 (99.2%) missing values Missing
PARENT_CU_EMPLOYMENT has 2692 (99.1%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 2623 (96.5%) missing values Missing
PERSON_NATIVE_LANGUAGE has 98 (3.6%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 918 (33.8%) missing values Missing
PERSON_FAFSA_SUBMITTED has 898 (33.1%) missing values Missing
PERSON_MILITARY_STATUS has 2712 (99.8%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 1644 (60.5%) missing values Missing
PERSON_HS_EQUIVALENCY has 2714 (99.9%) missing values Missing
PERSON_CUMULATIVE_GPA has 2451 (90.2%) missing values Missing
PERSON_HS_GPA_SR has 1132 (41.7%) missing values Missing
1_HIGH_SCHOOL_REGION has 38 (1.4%) missing values Missing
1_HIGH_SCHOOL_HONORS has 2717 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 1895 (69.7%) missing values Missing
APPLICATION_CU_SIS_APP_MATRICULATED has 2028 (74.6%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 607 (22.3%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 2000 (73.6%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 2059 (75.8%) missing values Missing
PAST_APP_HISTORY has 2647 (97.4%) missing values Missing
PERSON_ENGAGEMENT has 2614 (96.2%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 2012 (74.1%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 2012 (74.1%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 2000 (73.6%) missing values Missing
CURRENT_BIN_NAME has 2717 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 2717 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 2717 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 2717 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 2708 (99.7%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 2709 (99.7%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 2708 (99.7%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 2717 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 2716 (> 99.9%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 2716 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 2716 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 2716 (> 99.9%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 2716 (> 99.9%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 2717 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 2716 (> 99.9%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 2710 (99.7%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 2717 (100.0%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 2710 (99.7%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 2711 (99.8%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 2694 (99.2%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 2596 (95.5%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 2049 (75.4%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 2682 (98.7%) missing values Missing
APPLICATION_HALE_SCHOLAR has 2662 (98.0%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 2699 (99.3%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 2710 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 2706 (99.6%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 2717 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 2621 (96.5%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 2683 (98.7%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 2633 (96.9%) missing values Missing
APPLICATION_EXCEL has 2671 (98.3%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 2672 (98.3%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 2711 (99.8%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 2717 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 2713 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 2714 (99.9%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 2709 (99.7%) missing values Missing
PERSON_ENGINEARME has 2713 (99.9%) missing values Missing
HS_CITY_LOCATION has 678 (25.0%) missing values Missing
HS_TOT_ENROLLMENT has 286 (10.5%) missing values Missing
HS_NCES_ID has 286 (10.5%) missing values Missing
HS_NAME has 286 (10.5%) missing values Missing
HS_TYPE has 286 (10.5%) missing values Missing
HS_STATE has 678 (25.0%) missing values Missing
HS_TEACHERS_FTE has 291 (10.7%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 286 (10.5%) missing values Missing
HS_ZIP has 678 (25.0%) missing values Missing
HS_ADDRESS has 678 (25.0%) missing values Missing
HS_TYPE_VALUE has 286 (10.5%) missing values Missing
HS_CLASSIFICATION has 286 (10.5%) missing values Missing
HS_CEEB has 286 (10.5%) missing values Missing
df_index has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
CURRENT_BIN_NAME is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_YEARS_LIVED_IN_U_S is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_RURAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 305 (11.2%) zeros Zeros

Reproduction

Analysis started2020-11-02 22:22:10.473873
Analysis finished2020-11-02 22:22:12.501849
Duration2.03 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct2717
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18672.05374
Minimum0
Maximum34550
Zeros1
Zeros (%)< 0.1%
Memory size21.2 KiB
2020-11-02T15:22:12.589688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2018
Q111320
median20020
Q326960
95-th percentile32622
Maximum34550
Range34550
Interquartile range (IQR)15640

Descriptive statistics

Standard deviation9827.942456
Coefficient of variation (CV)0.5263450178
Kurtosis-1.098580833
Mean18672.05374
Median Absolute Deviation (MAD)7580
Skewness-0.2878179437
Sum50731970
Variance96588452.92
MonotocityStrictly increasing
2020-11-02T15:22:12.803262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81901< 0.1%
 
177701< 0.1%
 
275001< 0.1%
 
14001< 0.1%
 
300701< 0.1%
 
177801< 0.1%
 
260301< 0.1%
 
54901< 0.1%
 
218701< 0.1%
 
300601< 0.1%
 
Other values (2707)270799.6%
 
ValueCountFrequency (%) 
01< 0.1%
 
101< 0.1%
 
201< 0.1%
 
401< 0.1%
 
501< 0.1%
 
ValueCountFrequency (%) 
345501< 0.1%
 
344401< 0.1%
 
343801< 0.1%
 
343301< 0.1%
 
341701< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

HIGH CARDINALITY

Distinct2705
Distinct (%)100.0%
Missing12
Missing (%)0.4%
Memory size21.2 KiB
19206734-2018
 
1
18976942-2018
 
1
17933790-2018
 
1
19513135-2018
 
1
19123024-2018
 
1
Other values (2700)
2700 
ValueCountFrequency (%) 
19206734-20181< 0.1%
 
18976942-20181< 0.1%
 
17933790-20181< 0.1%
 
19513135-20181< 0.1%
 
19123024-20181< 0.1%
 
18674721-20181< 0.1%
 
18923304-20181< 0.1%
 
19958320-20181< 0.1%
 
19057946-20181< 0.1%
 
17613994-20181< 0.1%
 
Other values (2695)269599.2%
 
(Missing)120.4%
 
2020-11-02T15:22:12.992419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2705 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct2717
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
322854737
 
1
324931916
 
1
893750013
 
1
166623176
 
1
335375420
 
1
Other values (2712)
2712 
ValueCountFrequency (%) 
3228547371< 0.1%
 
3249319161< 0.1%
 
8937500131< 0.1%
 
1666231761< 0.1%
 
3353754201< 0.1%
 
954602021< 0.1%
 
4195210971< 0.1%
 
6892965061< 0.1%
 
8842163441< 0.1%
 
1570195041< 0.1%
 
Other values (2707)270799.6%
 
2020-11-02T15:22:13.336469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2717 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

HIGH CARDINALITY

Distinct2715
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
nan
 
3
106060920.0
 
1
108611098.0
 
1
109220056.0
 
1
109128955.0
 
1
Other values (2710)
2710 
ValueCountFrequency (%) 
nan30.1%
 
106060920.01< 0.1%
 
108611098.01< 0.1%
 
109220056.01< 0.1%
 
109128955.01< 0.1%
 
108998620.01< 0.1%
 
109206931.01< 0.1%
 
107517078.01< 0.1%
 
108520891.01< 0.1%
 
109188502.01< 0.1%
 
Other values (2705)270599.6%
 
2020-11-02T15:22:13.520361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2714 ?
Unique (%)99.9%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2018
2717 
ValueCountFrequency (%) 
20182717100.0%
 
2020-11-02T15:22:13.686510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2018 Fall
2705 
2018 Sum
 
8
2018 Spr
 
4
ValueCountFrequency (%) 
2018 Fall270599.6%
 
2018 Sum80.3%
 
2018 Spr40.1%
 
2020-11-02T15:22:13.810051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2018 Fall
2702 
2018 Sum
 
9
2018 Spr
 
6
ValueCountFrequency (%) 
2018 Fall270299.4%
 
2018 Sum90.3%
 
2018 Spr60.2%
 
2020-11-02T15:22:13.929543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RESIDENCY_STATUS
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Non-Resident
1936 
Resident
780 
Non-Resident International
 
1
ValueCountFrequency (%) 
Non-Resident193671.3%
 
Resident78028.7%
 
Non-Resident International1< 0.1%
 
2020-11-02T15:22:14.050946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing2647
Missing (%)97.4%
Memory size21.2 KiB
1
 
70
(Missing)
2647 
ValueCountFrequency (%) 
1702.6%
 
(Missing)264797.4%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
F
1410 
M
1307 
ValueCountFrequency (%) 
F141051.9%
 
M130748.1%
 
2020-11-02T15:22:14.167253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)0.2%
Missing38
Missing (%)1.4%
Memory size21.2 KiB
White
1945 
Hispanic
362 
Asian
275 
Black or African American
 
48
American Indian or Alaska Native
 
31
ValueCountFrequency (%) 
White194571.6%
 
Hispanic36213.3%
 
Asian27510.1%
 
Black or African American481.8%
 
American Indian or Alaska Native311.1%
 
Native Hawaiian or Other Pacific Islander180.7%
 
(Missing)381.4%
 
2020-11-02T15:22:14.288708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct585
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2000-02-24
 
17
2000-07-11
 
16
1999-10-06
 
16
1999-12-06
 
16
2000-02-25
 
15
Other values (580)
2637 
ValueCountFrequency (%) 
2000-02-24170.6%
 
2000-07-11160.6%
 
1999-10-06160.6%
 
1999-12-06160.6%
 
2000-02-25150.6%
 
2000-04-07140.5%
 
2000-06-09140.5%
 
2000-02-10140.5%
 
2000-05-19140.5%
 
2000-03-02130.5%
 
Other values (575)256894.5%
 
2020-11-02T15:22:14.449868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique119 ?
Unique (%)4.4%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct2705
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
nan
 
10
1645 Muirfield Ln
 
2
93 Beethoven Ave
 
2
103 Vista Dr
 
2
133 Golf Edge Dr
 
1
Other values (2700)
2700 
ValueCountFrequency (%) 
nan100.4%
 
1645 Muirfield Ln20.1%
 
93 Beethoven Ave20.1%
 
103 Vista Dr20.1%
 
133 Golf Edge Dr1< 0.1%
 
840 Constellation Dr1< 0.1%
 
2641 Merrick Ave1< 0.1%
 
15580 Loma Vista Ave1< 0.1%
 
2028 Cardigan Ave1< 0.1%
 
1215 Redwood Ct1< 0.1%
 
Other values (2695)269599.2%
 
2020-11-02T15:22:14.622912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2701 ?
Unique (%)99.4%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct1053
Distinct (%)38.9%
Missing10
Missing (%)0.4%
Memory size21.2 KiB
Denver
 
102
Colorado Springs
 
58
Aurora
 
56
Boulder
 
49
Highlands Ranch
 
40
Other values (1048)
2402 
ValueCountFrequency (%) 
Denver1023.8%
 
Colorado Springs582.1%
 
Aurora562.1%
 
Boulder491.8%
 
Highlands Ranch401.5%
 
Littleton371.4%
 
Parker261.0%
 
Longmont261.0%
 
Centennial250.9%
 
Seattle240.9%
 
Other values (1043)226483.3%
 
2020-11-02T15:22:14.785528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique652 ?
Unique (%)24.1%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct374
Distinct (%)14.0%
Missing39
Missing (%)1.4%
Memory size21.2 KiB
Arapahoe
 
117
Jefferson
 
112
Boulder
 
109
Douglas
 
104
Denver
 
87
Other values (369)
2149 
ValueCountFrequency (%) 
Arapahoe1174.3%
 
Jefferson1124.1%
 
Boulder1094.0%
 
Douglas1043.8%
 
Denver873.2%
 
Orange823.0%
 
Los Angeles782.9%
 
Cook772.8%
 
El Paso732.7%
 
King642.4%
 
Other values (364)177565.3%
 
2020-11-02T15:22:14.952495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique172 ?
Unique (%)6.4%

ADDRESS_REGION
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)2.7%
Missing18
Missing (%)0.7%
Memory size21.2 KiB
CO
795 
CA
527 
TX
147 
IL
146 
WA
 
88
Other values (68)
996 
ValueCountFrequency (%) 
CO79529.3%
 
CA52719.4%
 
TX1475.4%
 
IL1465.4%
 
WA883.2%
 
NY772.8%
 
FL692.5%
 
MA632.3%
 
NJ552.0%
 
CT521.9%
 
Other values (63)68025.0%
 
2020-11-02T15:22:15.124296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.9%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct2690
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
nan
 
19
75214-3546
 
2
12866-8410
 
2
81632
 
2
80439-5901
 
2
Other values (2685)
2690 
ValueCountFrequency (%) 
nan190.7%
 
75214-354620.1%
 
12866-841020.1%
 
8163220.1%
 
80439-590120.1%
 
80111-571620.1%
 
02468-174820.1%
 
80305-703220.1%
 
80439-944420.1%
 
8042420.1%
 
Other values (2680)268098.6%
 
2020-11-02T15:22:15.328871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2680 ?
Unique (%)98.6%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct1488
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
nan
 
37
80016.0
 
21
80134.0
 
19
80027.0
 
18
80013.0
 
17
Other values (1483)
2605 
ValueCountFrequency (%) 
nan371.4%
 
80016.0210.8%
 
80134.0190.7%
 
80027.0180.7%
 
80013.0170.6%
 
80111.0170.6%
 
80129.0160.6%
 
80304.0160.6%
 
80126.0160.6%
 
80439.0140.5%
 
Other values (1478)252693.0%
 
2020-11-02T15:22:15.677206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1030 ?
Unique (%)37.9%

ADDRESS_COUNTRY
Categorical

Distinct19
Distinct (%)0.7%
Missing10
Missing (%)0.4%
Memory size21.2 KiB
United States
2680 
India
 
7
Taiwan
 
2
United Arab Emirates
 
2
United Kingdom
 
2
Other values (14)
 
14
ValueCountFrequency (%) 
United States268098.6%
 
India70.3%
 
Taiwan20.1%
 
United Arab Emirates20.1%
 
United Kingdom20.1%
 
France1< 0.1%
 
The Bahamas1< 0.1%
 
South Africa1< 0.1%
 
Thailand1< 0.1%
 
Kuwait1< 0.1%
 
Other values (9)90.3%
 
(Missing)100.4%
 
2020-11-02T15:22:15.829071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique14 ?
Unique (%)0.5%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing2712
Missing (%)99.8%
Memory size21.2 KiB
1
 
5
(Missing)
2712 
ValueCountFrequency (%) 
150.2%
 
(Missing)271299.8%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct22
Distinct (%)1.4%
Missing1194
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean28.33749179
Minimum14
Maximum36
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:15.970711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile21
Q125
median29
Q331.5
95-th percentile34
Maximum36
Range22
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.066830768
Coefficient of variation (CV)0.1435141401
Kurtosis-0.3980031859
Mean28.33749179
Median Absolute Deviation (MAD)3
Skewness-0.3883792555
Sum43158
Variance16.5391125
MonotocityNot monotonic
2020-11-02T15:22:16.085453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
301525.6%
 
291365.0%
 
321324.9%
 
311254.6%
 
281184.3%
 
271184.3%
 
251164.3%
 
261084.0%
 
33963.5%
 
34863.2%
 
Other values (12)33612.4%
 
(Missing)119443.9%
 
ValueCountFrequency (%) 
141< 0.1%
 
1630.1%
 
1720.1%
 
1890.3%
 
19140.5%
 
ValueCountFrequency (%) 
36130.5%
 
35542.0%
 
34863.2%
 
33963.5%
 
321324.9%
 

PERSON_SATI_MAX_TOTAL
Real number (&Ropf≥0)

MISSING

Distinct7
Distinct (%)100.0%
Missing2710
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1147.142857
Minimum910
Maximum1550
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:16.190352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum910
5-th percentile919
Q11015
median1140
Q31200
95-th percentile1448
Maximum1550
Range640
Interquartile range (IQR)185

Descriptive statistics

Standard deviation212.3451817
Coefficient of variation (CV)0.1851078794
Kurtosis1.800921876
Mean1147.142857
Median Absolute Deviation (MAD)70
Skewness1.055135856
Sum8030
Variance45090.47619
MonotocityNot monotonic
2020-11-02T15:22:16.286912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
15501< 0.1%
 
11901< 0.1%
 
9101< 0.1%
 
9401< 0.1%
 
11401< 0.1%
 
10901< 0.1%
 
12101< 0.1%
 
(Missing)271099.7%
 
ValueCountFrequency (%) 
9101< 0.1%
 
9401< 0.1%
 
10901< 0.1%
 
11401< 0.1%
 
11901< 0.1%
 
ValueCountFrequency (%) 
15501< 0.1%
 
12101< 0.1%
 
11901< 0.1%
 
11401< 0.1%
 
10901< 0.1%
 

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct78
Distinct (%)4.6%
Missing1023
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean1266.812279
Minimum740
Maximum1590
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:16.423774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum740
5-th percentile1030
Q11170
median1270
Q31380
95-th percentile1490
Maximum1590
Range850
Interquartile range (IQR)210

Descriptive statistics

Standard deviation143.4129315
Coefficient of variation (CV)0.1132077214
Kurtosis-0.273200618
Mean1266.812279
Median Absolute Deviation (MAD)110
Skewness-0.2237364211
Sum2145980
Variance20567.26893
MonotocityNot monotonic
2020-11-02T15:22:16.565568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1300511.9%
 
1290471.7%
 
1180471.7%
 
1380461.7%
 
1370461.7%
 
1310451.7%
 
1320441.6%
 
1200441.6%
 
1230421.5%
 
1190421.5%
 
Other values (68)124045.6%
 
(Missing)102337.7%
 
ValueCountFrequency (%) 
7401< 0.1%
 
79020.1%
 
8001< 0.1%
 
8101< 0.1%
 
8401< 0.1%
 
ValueCountFrequency (%) 
159020.1%
 
15801< 0.1%
 
157050.2%
 
156080.3%
 
155070.3%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)2.0%
Missing2619
Missing (%)96.4%
Memory size21.2 KiB
1
 
65
0
 
33
(Missing)
2619 
ValueCountFrequency (%) 
1652.4%
 
0331.2%
 
(Missing)261996.4%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)0.3%
Missing2353
Missing (%)86.6%
Memory size21.2 KiB
Yes
364 
ValueCountFrequency (%) 
Yes36413.4%
 
(Missing)235386.6%
 
2020-11-02T15:22:16.696720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
nan
2709 
11+
 
8
ValueCountFrequency (%) 
nan270999.7%
 
11+80.3%
 
2020-11-02T15:22:16.804240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct9
Distinct (%)0.3%
Missing7
Missing (%)0.3%
Memory size21.2 KiB
G. Bachelor's Level Degree
1182 
H. Some Graduate School
906 
C. High School Graduate or Equivalent
220 
D. Some College
191 
E. Technical School
 
100
Other values (4)
 
111
ValueCountFrequency (%) 
G. Bachelor's Level Degree118243.5%
 
H. Some Graduate School90633.3%
 
C. High School Graduate or Equivalent2208.1%
 
D. Some College1917.0%
 
E. Technical School1003.7%
 
B. Less Than High School Graduate983.6%
 
A. Not Indicated80.3%
 
I. Master's Level Degree40.1%
 
F. 2-Year College Degree1< 0.1%
 
(Missing)70.3%
 
2020-11-02T15:22:16.918813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)9.5%
Missing2696
Missing (%)99.2%
Memory size21.2 KiB
0
 
16
1
 
5
(Missing)
2696 
ValueCountFrequency (%) 
0160.6%
 
150.2%
 
(Missing)269699.2%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)8.0%
Missing2692
Missing (%)99.1%
Memory size21.2 KiB
0
 
20
1
 
5
(Missing)
2692 
ValueCountFrequency (%) 
0200.7%
 
150.2%
 
(Missing)269299.1%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)2.1%
Missing2623
Missing (%)96.5%
Memory size21.2 KiB
1
 
89
0
 
5
(Missing)
2623 
ValueCountFrequency (%) 
1893.3%
 
050.2%
 
(Missing)262396.5%
 

PERSON_NATIVE_LANGUAGE
Categorical

MISSING

Distinct25
Distinct (%)1.0%
Missing98
Missing (%)3.6%
Memory size21.2 KiB
EN
2510 
SP
 
61
CM
 
7
AR
 
7
FR
 
6
Other values (20)
 
28
ValueCountFrequency (%) 
EN251092.4%
 
SP612.2%
 
CM70.3%
 
AR70.3%
 
FR60.2%
 
GE50.2%
 
VI30.1%
 
CC20.1%
 
SW20.1%
 
IT1< 0.1%
 
Other values (15)150.6%
 
(Missing)983.6%
 
2020-11-02T15:22:17.049765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)0.6%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)0.4%
Missing918
Missing (%)33.8%
Memory size21.2 KiB
G. More than $150,000
951 
F. $100,000 - $149,999
340 
E. $75,000 - $99,999
135 
C. $35,000 - $59,999
122 
B. $15,000 - $34,999
96 
Other values (2)
155 
ValueCountFrequency (%) 
G. More than $150,00095135.0%
 
F. $100,000 - $149,99934012.5%
 
E. $75,000 - $99,9991355.0%
 
C. $35,000 - $59,9991224.5%
 
B. $15,000 - $34,999963.5%
 
D. $60,000 - $74,999953.5%
 
A. $0 - $15,000602.2%
 
(Missing)91833.8%
 
2020-11-02T15:22:17.167496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing898
Missing (%)33.1%
Memory size21.2 KiB
1
1819 
(Missing)
898 
ValueCountFrequency (%) 
1181966.9%
 
(Missing)89833.1%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct2
Distinct (%)40.0%
Missing2712
Missing (%)99.8%
Memory size21.2 KiB
Previously Served
3 
Current Dependent
2 
ValueCountFrequency (%) 
Previously Served30.1%
 
Current Dependent20.1%
 
(Missing)271299.8%
 
2020-11-02T15:22:17.273189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf≥0)

MISSING

Distinct81
Distinct (%)7.5%
Missing1644
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean78.03914259
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:17.396595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile41
Q168
median82
Q393
95-th percentile99
Maximum100
Range95
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.37732511
Coefficient of variation (CV)0.2354885575
Kurtosis0.4046348681
Mean78.03914259
Median Absolute Deviation (MAD)12
Skewness-0.9667478095
Sum83736
Variance337.7260784
MonotocityNot monotonic
2020-11-02T15:22:17.546939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
98441.6%
 
99441.6%
 
100401.5%
 
96401.5%
 
93361.3%
 
97341.3%
 
81301.1%
 
94301.1%
 
85291.1%
 
95281.0%
 
Other values (71)71826.4%
 
(Missing)164460.5%
 
ValueCountFrequency (%) 
51< 0.1%
 
1920.1%
 
2120.1%
 
2220.1%
 
231< 0.1%
 
ValueCountFrequency (%) 
100401.5%
 
99441.6%
 
98441.6%
 
97341.3%
 
96401.5%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing2714
Missing (%)99.9%
Memory size21.2 KiB
1
 
3
(Missing)
2714 
ValueCountFrequency (%) 
130.1%
 
(Missing)271499.9%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct111
Distinct (%)41.7%
Missing2451
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean3.484101504
Minimum1.85
Maximum4
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:17.840571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.85
5-th percentile2.13925
Q13.00775
median3.7
Q34
95-th percentile4
Maximum4
Range2.15
Interquartile range (IQR)0.99225

Descriptive statistics

Standard deviation0.5716687531
Coefficient of variation (CV)0.1640792475
Kurtosis0.334362552
Mean3.484101504
Median Absolute Deviation (MAD)0.3
Skewness-1.053224365
Sum926.771
Variance0.3268051632
MonotocityNot monotonic
2020-11-02T15:22:17.985415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4863.2%
 
3230.8%
 
3.7110.4%
 
2100.4%
 
2.770.3%
 
3.550.2%
 
3.350.2%
 
3.930.1%
 
2.530.1%
 
3.92930.1%
 
Other values (101)1104.0%
 
(Missing)245190.2%
 
ValueCountFrequency (%) 
1.851< 0.1%
 
1.8671< 0.1%
 
1.981< 0.1%
 
2100.4%
 
2.1251< 0.1%
 
ValueCountFrequency (%) 
4863.2%
 
3.9771< 0.1%
 
3.9721< 0.1%
 
3.971< 0.1%
 
3.9571< 0.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

Distinct729
Distinct (%)26.9%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3.70908404
Minimum0.109
Maximum4
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:18.133407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.109
5-th percentile3.1218
Q13.5
median3.783
Q34
95-th percentile4
Maximum4
Range3.891
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.3115510553
Coefficient of variation (CV)0.0839967636
Kurtosis6.255550575
Mean3.70908404
Median Absolute Deviation (MAD)0.217
Skewness-1.375216047
Sum10062.745
Variance0.09706406004
MonotocityNot monotonic
2020-11-02T15:22:18.281694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
488132.4%
 
3.75210.8%
 
3.6180.7%
 
3.3150.6%
 
3.7150.6%
 
3.5140.5%
 
3.9140.5%
 
3.8130.5%
 
3.42120.4%
 
3.44120.4%
 
Other values (719)169862.5%
 
ValueCountFrequency (%) 
0.1091< 0.1%
 
2.551< 0.1%
 
2.61< 0.1%
 
2.6361< 0.1%
 
2.641< 0.1%
 
ValueCountFrequency (%) 
488132.4%
 
3.9971< 0.1%
 
3.99320.1%
 
3.9921< 0.1%
 
3.9911< 0.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct800
Distinct (%)50.5%
Missing1132
Missing (%)41.7%
Memory size21.2 KiB
3.75
 
20
3.89
 
17
3.97
 
16
3.78
 
15
3.58
 
14
Other values (795)
1503 
ValueCountFrequency (%) 
3.75200.7%
 
3.89170.6%
 
3.97160.6%
 
3.78150.6%
 
3.58140.5%
 
3.76140.5%
 
3.36130.5%
 
3.98120.4%
 
3.68120.4%
 
3.77120.4%
 
Other values (790)144053.0%
 
(Missing)113241.7%
 
2020-11-02T15:22:18.460831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique574 ?
Unique (%)36.2%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct1493
Distinct (%)55.0%
Missing1
Missing (%)< 0.1%
Memory size21.2 KiB
060118
 
32
060115
 
25
060515
 
23
060400
 
22
060748
 
19
Other values (1488)
2595 
ValueCountFrequency (%) 
060118321.2%
 
060115250.9%
 
060515230.8%
 
060400220.8%
 
060748190.7%
 
060747180.7%
 
060885170.6%
 
060928170.6%
 
060435150.6%
 
144430130.5%
 
Other values (1483)251592.6%
 
2020-11-02T15:22:18.636222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1024 ?
Unique (%)37.7%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct1689
Distinct (%)62.2%
Missing1
Missing (%)< 0.1%
Memory size21.2 KiB
Fairview High School
 
28
Boulder High School
 
22
East High School
 
21
Cherry Creek High School
 
19
Mountain Vista High School
 
18
Other values (1684)
2608 
ValueCountFrequency (%) 
Fairview High School281.0%
 
Boulder High School220.8%
 
East High School210.8%
 
Cherry Creek High School190.7%
 
Mountain Vista High School180.7%
 
Rock Canyon High School170.6%
 
Arapahoe High School170.6%
 
Lakewood High School150.6%
 
Legacy High School110.4%
 
Smoky Hill High School110.4%
 
Other values (1679)253793.4%
 
2020-11-02T15:22:18.804666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1262 ?
Unique (%)46.5%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct18
Distinct (%)0.7%
Missing1
Missing (%)< 0.1%
Memory size21.2 KiB
Minimum2011-06-01 00:00:00
Maximum2019-06-01 00:00:00
2020-11-02T15:22:18.928985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:19.045135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct61
Distinct (%)2.3%
Missing38
Missing (%)1.4%
Memory size21.2 KiB
CO
785 
CA
527 
IL
144 
TX
144 
WA
 
85
Other values (56)
994 
ValueCountFrequency (%) 
CO78528.9%
 
CA52719.4%
 
IL1445.3%
 
TX1445.3%
 
WA853.1%
 
NY742.7%
 
FL712.6%
 
MA692.5%
 
CT552.0%
 
NJ542.0%
 
Other values (51)67124.7%
 
2020-11-02T15:22:19.203060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique11 ?
Unique (%)0.4%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct1151
Distinct (%)42.5%
Missing10
Missing (%)0.4%
Memory size21.2 KiB
Denver
 
79
Aurora
 
64
Boulder
 
48
Colorado Springs
 
46
Littleton
 
37
Other values (1146)
2433 
ValueCountFrequency (%) 
Denver792.9%
 
Aurora642.4%
 
Boulder481.8%
 
Colorado Springs461.7%
 
Littleton371.4%
 
Highlands Ranch341.3%
 
DENVER281.0%
 
Broomfield261.0%
 
Englewood240.9%
 
Chicago220.8%
 
Other values (1141)229984.6%
 
2020-11-02T15:22:19.382600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique740 ?
Unique (%)27.3%

1_HIGH_SCHOOL_TYPE
Categorical

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size21.2 KiB
High School
2716 
ValueCountFrequency (%) 
High School2716> 99.9%
 
(Missing)1< 0.1%
 
2020-11-02T15:22:19.520647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing1895
Missing (%)69.7%
Memory size21.2 KiB
Other college listed
815 
Yes
 
7
ValueCountFrequency (%) 
Other college listed81530.0%
 
Yes70.3%
 
(Missing)189569.7%
 
2020-11-02T15:22:19.633311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Categorical

MISSING

Distinct1
Distinct (%)0.1%
Missing2028
Missing (%)74.6%
Memory size21.2 KiB
Yes
689 
ValueCountFrequency (%) 
Yes68925.4%
 
(Missing)202874.6%
 
2020-11-02T15:22:19.886541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADMITTED_COLLEGE
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
ARSCU
1895 
ENGRU
330 
BUSNU
251 
CMCIU
 
153
ARPLU
 
33
Other values (2)
 
55
ValueCountFrequency (%) 
ARSCU189569.7%
 
ENGRU33012.1%
 
BUSNU2519.2%
 
CMCIU1535.6%
 
ARPLU331.2%
 
EDUCU321.2%
 
MUSCU230.8%
 
2020-11-02T15:22:19.999330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
College of Arts & Sciences
1199 
College of Engineering & Applied Science
684 
Leeds School of Business
556 
College of Media, Communication & Information
170 
School of Education
 
40
Other values (2)
 
68
ValueCountFrequency (%) 
College of Arts & Sciences119944.1%
 
College of Engineering & Applied Science68425.2%
 
Leeds School of Business55620.5%
 
College of Media, Communication & Information1706.3%
 
School of Education401.5%
 
College of Music351.3%
 
Program in Environmental Design331.2%
 
2020-11-02T15:22:20.122798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct69
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Business - Open Option (Undecided)
322 
Arts and Sciences - Open Option (Undecided)
 
160
Psychology
 
158
Biological Sciences-Molecular, Cellular, & Developmental Biology
 
138
Aerospace Engineering Sciences
 
130
Other values (64)
1809 
ValueCountFrequency (%) 
Business - Open Option (Undecided)32211.9%
 
Arts and Sciences - Open Option (Undecided)1605.9%
 
Psychology1585.8%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology1385.1%
 
Aerospace Engineering Sciences1304.8%
 
Mechanical Engineering1224.5%
 
Biological Sciences-Integrative Physiology993.6%
 
Engineering - Open Option (Undecided)913.3%
 
Political Science913.3%
 
Computer Science (Engineering, BS)883.2%
 
Other values (59)131848.5%
 
2020-11-02T15:22:20.273315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)0.1%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct170
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2017-11-15 12:00 AM
350 
2018-01-15 12:00 AM
234 
2017-11-14 12:00 AM
232 
2017-11-13 12:00 AM
 
114
2018-01-14 12:00 AM
 
96
Other values (165)
1691 
ValueCountFrequency (%) 
2017-11-15 12:00 AM35012.9%
 
2018-01-15 12:00 AM2348.6%
 
2017-11-14 12:00 AM2328.5%
 
2017-11-13 12:00 AM1144.2%
 
2018-01-14 12:00 AM963.5%
 
2017-11-12 12:00 AM843.1%
 
2018-01-16 12:00 AM742.7%
 
2017-11-16 12:00 AM692.5%
 
2017-10-31 12:00 AM662.4%
 
2017-10-29 12:00 AM542.0%
 
Other values (160)134449.5%
 
2020-11-02T15:22:20.445407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique33 ?
Unique (%)1.2%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Admit First Choice Program
1951 
Admit Arts and Science AMO
510 
Admit Pre Engineering
 
95
Admit Pre Business
 
89
Admit McNeill
 
20
Other values (4)
 
52
ValueCountFrequency (%) 
Admit First Choice Program195171.8%
 
Admit Arts and Science AMO51018.8%
 
Admit Pre Engineering953.5%
 
Admit Pre Business893.3%
 
Admit McNeill200.7%
 
Admit Arts and Sciences AMO with Excel Invite190.7%
 
Admit Arts and Sciences AMO with GoldShirt Invite170.6%
 
Admit McNeill to Arts and Sciences AMO150.6%
 
Deny1< 0.1%
 
2020-11-02T15:22:20.597114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct71
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2018-01-16 06:20 PM
638 
2018-03-14 04:30 PM
562 
2018-01-17 06:30 PM
409 
2018-01-18 06:45 PM
207 
2018-03-02 06:32 PM
163 
Other values (66)
738 
ValueCountFrequency (%) 
2018-01-16 06:20 PM63823.5%
 
2018-03-14 04:30 PM56220.7%
 
2018-01-17 06:30 PM40915.1%
 
2018-01-18 06:45 PM2077.6%
 
2018-03-02 06:32 PM1636.0%
 
2018-02-14 04:30 PM983.6%
 
2018-01-19 06:35 PM923.4%
 
2018-03-12 04:30 PM873.2%
 
2018-03-13 06:31 PM833.1%
 
2017-12-20 06:30 PM702.6%
 
Other values (61)30811.3%
 
2020-11-02T15:22:20.749277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30 ?
Unique (%)1.1%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct1572
Distinct (%)74.5%
Missing607
Missing (%)22.3%
Memory size21.2 KiB
2018-01-16 06:36 PM
 
45
2018-01-16 06:37 PM
 
25
2018-01-17 06:47 PM
 
18
2018-01-18 07:01 PM
 
16
2018-03-14 06:36 PM
 
12
Other values (1567)
1994 
ValueCountFrequency (%) 
2018-01-16 06:36 PM451.7%
 
2018-01-16 06:37 PM250.9%
 
2018-01-17 06:47 PM180.7%
 
2018-01-18 07:01 PM160.6%
 
2018-03-14 06:36 PM120.4%
 
2018-01-16 06:38 PM120.4%
 
2018-01-17 06:48 PM110.4%
 
2018-01-16 06:39 PM90.3%
 
2018-01-16 06:45 PM90.3%
 
2018-01-16 06:40 PM80.3%
 
Other values (1562)194571.6%
 
(Missing)60722.3%
 
2020-11-02T15:22:20.915773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1341 ?
Unique (%)63.6%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct666
Distinct (%)92.9%
Missing2000
Missing (%)73.6%
Memory size21.2 KiB
2018-01-23 04:12 PM
 
4
2018-02-14 08:33 PM
 
3
2018-04-10 12:41 PM
 
3
2018-04-14 03:08 PM
 
3
2018-01-20 05:39 PM
 
2
Other values (661)
702 
ValueCountFrequency (%) 
2018-01-23 04:12 PM40.1%
 
2018-02-14 08:33 PM30.1%
 
2018-04-10 12:41 PM30.1%
 
2018-04-14 03:08 PM30.1%
 
2018-01-20 05:39 PM20.1%
 
2018-04-30 10:01 PM20.1%
 
2018-05-01 12:12 AM20.1%
 
2018-04-22 08:26 PM20.1%
 
2018-02-01 11:49 PM20.1%
 
2018-02-11 04:28 PM20.1%
 
Other values (656)69225.5%
 
(Missing)200073.6%
 
2020-11-02T15:22:21.082886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique620 ?
Unique (%)86.5%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing2059
Missing (%)75.8%
Memory size21.2 KiB
1
658 
(Missing)
2059 
ValueCountFrequency (%) 
165824.2%
 
(Missing)205975.8%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Admit
1537 
Deposit Paid
633 
Withdraw
524 
Deposit Pending
 
16
Defer (Deposit Paid)
 
5
Other values (2)
 
2
ValueCountFrequency (%) 
Admit153756.6%
 
Deposit Paid63323.3%
 
Withdraw52419.3%
 
Deposit Pending160.6%
 
Defer (Deposit Paid)50.2%
 
Administrative Withdraw1< 0.1%
 
Defer (Deposit Pending)1< 0.1%
 
2020-11-02T15:22:21.235884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)0.1%

PAST_APP_HISTORY
Categorical

MISSING

Distinct36
Distinct (%)51.4%
Missing2647
Missing (%)97.4%
Memory size21.2 KiB
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)
17 
2018 Fall FR (2018-02-14 Admit: Admit First Choice Program)
5 
2018 Fall FR (2018-03-14 Admit: Admit First Choice Program)
5 
2018 Fall FR (2018-01-17 Admit: Admit First Choice Program)
5 
2018 Fall FR (2018-01-18 Admit: AMO Business (BUAC))
 
3
Other values (31)
35 
ValueCountFrequency (%) 
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)170.6%
 
2018 Fall FR (2018-02-14 Admit: Admit First Choice Program)50.2%
 
2018 Fall FR (2018-03-14 Admit: Admit First Choice Program)50.2%
 
2018 Fall FR (2018-01-17 Admit: Admit First Choice Program)50.2%
 
2018 Fall FR (2018-01-18 Admit: AMO Business (BUAC))30.1%
 
2018 Fall FR (2017-12-20 Admit: Admit First Choice Program)20.1%
 
2018 Fall FR (2018-05-01 Withdraw: Decline Offer of Admission)20.1%
 
2018 Fall FR (2018-03-13 Admit: AMO Business (BUAC))20.1%
 
2018 Fall FR (2018-04-30 Withdraw: Decline Offer of Admission)20.1%
 
2018 Fall FR (2018-04-28 Withdraw: Decline Offer of Admission)1< 0.1%
 
Other values (26)261.0%
 
(Missing)264797.4%
 
2020-11-02T15:22:21.384095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)38.6%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)5.8%
Missing2614
Missing (%)96.2%
Memory size21.2 KiB
Blue
42 
Purple
23 
Red
15 
Green
10 
Black
7 
ValueCountFrequency (%) 
Blue421.5%
 
Purple230.8%
 
Red150.6%
 
Green100.4%
 
Black70.3%
 
Yellow60.2%
 
(Missing)261496.2%
 
2020-11-02T15:22:21.523121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

ZEROS

Distinct225
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.36878911
Minimum0
Maximum1015
Zeros305
Zeros (%)11.2%
Memory size21.2 KiB
2020-11-02T15:22:21.655665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median13
Q336
95-th percentile116.2
Maximum1015
Range1015
Interquartile range (IQR)32

Descriptive statistics

Standard deviation72.51748678
Coefficient of variation (CV)2.173213015
Kurtosis64.36234844
Mean33.36878911
Median Absolute Deviation (MAD)12
Skewness6.904150359
Sum90663
Variance5258.785889
MonotocityNot monotonic
2020-11-02T15:22:21.806814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
030511.2%
 
11585.8%
 
21224.5%
 
41073.9%
 
51013.7%
 
3933.4%
 
7752.8%
 
8692.5%
 
6682.5%
 
10602.2%
 
Other values (215)155957.4%
 
ValueCountFrequency (%) 
030511.2%
 
11585.8%
 
21224.5%
 
3933.4%
 
41073.9%
 
ValueCountFrequency (%) 
10151< 0.1%
 
9291< 0.1%
 
9071< 0.1%
 
9041< 0.1%
 
8201< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct63
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.57158631
Minimum0
Maximum74
Zeros25
Zeros (%)0.9%
Memory size21.2 KiB
2020-11-02T15:22:22.076905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median19
Q326
95-th percentile39
Maximum74
Range74
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.86520921
Coefficient of variation (CV)0.5551522006
Kurtosis0.6195609339
Mean19.57158631
Median Absolute Deviation (MAD)7
Skewness0.6618238843
Sum53176
Variance118.0527712
MonotocityNot monotonic
2020-11-02T15:22:22.224600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131104.0%
 
171094.0%
 
201033.8%
 
161033.8%
 
121003.7%
 
21993.6%
 
22963.5%
 
10923.4%
 
18913.3%
 
19913.3%
 
Other values (53)172363.4%
 
ValueCountFrequency (%) 
0250.9%
 
1291.1%
 
2401.5%
 
3281.0%
 
4421.5%
 
ValueCountFrequency (%) 
741< 0.1%
 
691< 0.1%
 
671< 0.1%
 
651< 0.1%
 
641< 0.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
0
2717 
ValueCountFrequency (%) 
02717100.0%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
0
2012 
1
668 
2
 
35
3
 
2
ValueCountFrequency (%) 
0201274.1%
 
166824.6%
 
2351.3%
 
320.1%
 
2020-11-02T15:22:22.381016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct17
Distinct (%)2.4%
Missing2012
Missing (%)74.1%
Memory size21.2 KiB
Information Session & Campus Tour
474 
Be Boulder for a Day
60 
Explore CU
 
46
Talented Scholars Day
 
26
Engineer Your Future: Engineering Sampler
 
24
Other values (12)
75 
ValueCountFrequency (%) 
Information Session & Campus Tour47417.4%
 
Be Boulder for a Day602.2%
 
Explore CU461.7%
 
Talented Scholars Day261.0%
 
Engineer Your Future: Engineering Sampler240.9%
 
Summer Sampler180.7%
 
Diversity & Inclusion Visit Experience120.4%
 
Boettcher Semifinalist Day80.3%
 
Woman in Business Program80.3%
 
Ralphie's Group Visit50.2%
 
Other values (7)240.9%
 
(Missing)201274.1%
 
2020-11-02T15:22:22.512560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct298
Distinct (%)42.3%
Missing2012
Missing (%)74.1%
Memory size21.2 KiB
Minimum2017-05-06 10:30:00
Maximum2019-01-24 09:30:00
2020-11-02T15:22:22.636719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:22.790462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
0
2359 
1
351 
2
 
7
ValueCountFrequency (%) 
0235986.8%
 
135112.9%
 
270.3%
 
2020-11-02T15:22:22.930553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
No
2084 
Yes
633 
ValueCountFrequency (%) 
No208476.7%
 
Yes63323.3%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct666
Distinct (%)92.9%
Missing2000
Missing (%)73.6%
Memory size21.2 KiB
Minimum2017-11-20 13:09:45
Maximum2018-08-01 18:25:51
2020-11-02T15:22:23.052343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:23.188947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing2708
Missing (%)99.7%
Memory size21.2 KiB
B. Less Than High School Graduate
4 
D. Some College
3 
G. Bachelor's Level Degree
2 
ValueCountFrequency (%) 
B. Less Than High School Graduate40.1%
 
D. Some College30.1%
 
G. Bachelor's Level Degree20.1%
 
(Missing)270899.7%
 
2020-11-02T15:22:23.321086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing2709
Missing (%)99.7%
Memory size21.2 KiB
0
 
8
(Missing)
2709 
ValueCountFrequency (%) 
080.3%
 
(Missing)270999.7%
 

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)22.2%
Missing2708
Missing (%)99.7%
Memory size21.2 KiB
0
 
8
1
 
1
(Missing)
2708 
ValueCountFrequency (%) 
080.3%
 
11< 0.1%
 
(Missing)270899.7%
 

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
0
 
1
(Missing)
2716 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)2716> 99.9%
 

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
0
 
1
(Missing)
2716 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)2716> 99.9%
 

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
J. Doctorate (Academic)
1 
ValueCountFrequency (%) 
J. Doctorate (Academic)1< 0.1%
 
(Missing)2716> 99.9%
 
2020-11-02T15:22:23.438135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
0
 
1
(Missing)
2716 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)2716> 99.9%
 

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
0
 
1
(Missing)
2716 
ValueCountFrequency (%) 
01< 0.1%
 
(Missing)2716> 99.9%
 

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing2716
Missing (%)> 99.9%
Memory size21.2 KiB
1
 
1
(Missing)
2716 
ValueCountFrequency (%) 
11< 0.1%
 
(Missing)2716> 99.9%
 

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing2710
Missing (%)99.7%
Memory size21.2 KiB
1
 
7
(Missing)
2710 
ValueCountFrequency (%) 
170.3%
 
(Missing)271099.7%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

Distinct2
Distinct (%)0.1%
Missing12
Missing (%)0.4%
Memory size21.2 KiB
0
2640 
1
 
65
(Missing)
 
12
ValueCountFrequency (%) 
0264097.2%
 
1652.4%
 
(Missing)120.4%
 

PERSON_YEARS_LIVED_IN_U_S
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct1
Distinct (%)14.3%
Missing2710
Missing (%)99.7%
Memory size21.2 KiB
0
7 
ValueCountFrequency (%) 
070.3%
 
(Missing)271099.7%
 
2020-11-02T15:22:23.541746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)16.7%
Missing2711
Missing (%)99.8%
Memory size21.2 KiB
1
 
6
(Missing)
2711 
ValueCountFrequency (%) 
160.2%
 
(Missing)271199.8%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)4.3%
Missing2694
Missing (%)99.2%
Memory size21.2 KiB
1
 
23
(Missing)
2694 
ValueCountFrequency (%) 
1230.8%
 
(Missing)269499.2%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.8%
Missing2596
Missing (%)95.5%
Memory size21.2 KiB
1
 
121
(Missing)
2596 
ValueCountFrequency (%) 
11214.5%
 
(Missing)259695.5%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing2049
Missing (%)75.4%
Memory size21.2 KiB
1
668 
(Missing)
2049 
ValueCountFrequency (%) 
166824.6%
 
(Missing)204975.4%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.9%
Missing2682
Missing (%)98.7%
Memory size21.2 KiB
1
 
35
(Missing)
2682 
ValueCountFrequency (%) 
1351.3%
 
(Missing)268298.7%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.8%
Missing2662
Missing (%)98.0%
Memory size21.2 KiB
1
 
55
(Missing)
2662 
ValueCountFrequency (%) 
1552.0%
 
(Missing)266298.0%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)5.6%
Missing2699
Missing (%)99.3%
Memory size21.2 KiB
1
 
18
(Missing)
2699 
ValueCountFrequency (%) 
1180.7%
 
(Missing)269999.3%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing2710
Missing (%)99.7%
Memory size21.2 KiB
1
 
7
(Missing)
2710 
ValueCountFrequency (%) 
170.3%
 
(Missing)271099.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Boolean

MISSING

Distinct1
Distinct (%)9.1%
Missing2706
Missing (%)99.6%
Memory size21.2 KiB
1
 
11
(Missing)
2706 
ValueCountFrequency (%) 
1110.4%
 
(Missing)270699.6%
 

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.0%
Missing2621
Missing (%)96.5%
Memory size21.2 KiB
1
 
96
(Missing)
2621 
ValueCountFrequency (%) 
1963.5%
 
(Missing)262196.5%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)2.9%
Missing2683
Missing (%)98.7%
Memory size21.2 KiB
1
 
34
(Missing)
2683 
ValueCountFrequency (%) 
1341.3%
 
(Missing)268398.7%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.2%
Missing2633
Missing (%)96.9%
Memory size21.2 KiB
1
 
84
(Missing)
2633 
ValueCountFrequency (%) 
1843.1%
 
(Missing)263396.9%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct3
Distinct (%)6.5%
Missing2671
Missing (%)98.3%
Memory size21.2 KiB
Excel referral
26 
Excel interview invite
13 
Excel admit
7 
ValueCountFrequency (%) 
Excel referral261.0%
 
Excel interview invite130.5%
 
Excel admit70.3%
 
(Missing)267198.3%
 
2020-11-02T15:22:23.667262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

Distinct2
Distinct (%)0.1%
Missing24
Missing (%)0.9%
Memory size21.2 KiB
0
1894 
1
799 
(Missing)
 
24
ValueCountFrequency (%) 
0189469.7%
 
179929.4%
 
(Missing)240.9%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)2.2%
Missing2672
Missing (%)98.3%
Memory size21.2 KiB
1
 
45
(Missing)
2672 
ValueCountFrequency (%) 
1451.7%
 
(Missing)267298.3%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)16.7%
Missing2711
Missing (%)99.8%
Memory size21.2 KiB
1
 
6
(Missing)
2711 
ValueCountFrequency (%) 
160.2%
 
(Missing)271199.8%
 

PERSON_PRE_COLLEGIATE_RURAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2717
Missing (%)100.0%
Memory size21.4 KiB

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing2713
Missing (%)99.9%
Memory size21.2 KiB
1
 
4
(Missing)
2713 
ValueCountFrequency (%) 
140.1%
 
(Missing)271399.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing2714
Missing (%)99.9%
Memory size21.2 KiB
1
 
3
(Missing)
2714 
ValueCountFrequency (%) 
130.1%
 
(Missing)271499.9%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing2709
Missing (%)99.7%
Memory size21.2 KiB
1
 
8
(Missing)
2709 
ValueCountFrequency (%) 
180.3%
 
(Missing)270999.7%
 

PERSON_ENGINEARME
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing2713
Missing (%)99.9%
Memory size21.2 KiB
1
 
4
(Missing)
2713 
ValueCountFrequency (%) 
140.1%
 
(Missing)271399.9%
 

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct757
Distinct (%)37.1%
Missing678
Missing (%)25.0%
Memory size21.2 KiB
Denver
 
76
Highlands Ranch
 
59
Boulder
 
57
Aurora
 
49
Colorado Springs
 
46
Other values (752)
1752 
ValueCountFrequency (%) 
Denver762.8%
 
Highlands Ranch592.2%
 
Boulder572.1%
 
Aurora491.8%
 
Colorado Springs461.7%
 
Littleton311.1%
 
Lakewood301.1%
 
Broomfield240.9%
 
Greenwood Village230.8%
 
Parker220.8%
 
Other values (747)162259.7%
 
(Missing)67825.0%
 
2020-11-02T15:22:23.828582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique445 ?
Unique (%)21.8%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct1051
Distinct (%)43.2%
Missing286
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean1663.166598
Minimum12
Maximum5286
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:23.979580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile409.5
Q11065
median1638
Q32179
95-th percentile3138
Maximum5286
Range5274
Interquartile range (IQR)1114

Descriptive statistics

Standard deviation832.2053792
Coefficient of variation (CV)0.5003740336
Kurtosis0.2429312659
Mean1663.166598
Median Absolute Deviation (MAD)551
Skewness0.4949418704
Sum4043158
Variance692565.7932
MonotocityNot monotonic
2020-11-02T15:22:24.277569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2179331.2%
 
2103250.9%
 
2266250.9%
 
3720240.9%
 
2603220.8%
 
1684190.7%
 
2332180.7%
 
2091180.7%
 
2250170.6%
 
2963130.5%
 
Other values (1041)221781.6%
 
(Missing)28610.5%
 
ValueCountFrequency (%) 
121< 0.1%
 
321< 0.1%
 
721< 0.1%
 
7320.1%
 
9020.1%
 
ValueCountFrequency (%) 
52861< 0.1%
 
479720.1%
 
451730.1%
 
434520.1%
 
42871< 0.1%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct1287
Distinct (%)52.9%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
080249000114
 
32
080249000101
 
25
080291000186
 
23
080336000338
 
22
080345001961
 
19
Other values (1282)
2310 
ValueCountFrequency (%) 
080249000114321.2%
 
080249000101250.9%
 
080291000186230.8%
 
080336000338220.8%
 
080345001961190.7%
 
A9101574190.7%
 
080345001748180.7%
 
080480000747170.6%
 
080531000873170.6%
 
080690001784130.5%
 
Other values (1277)222681.9%
 
(Missing)28610.5%
 
2020-11-02T15:22:24.444432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique863 ?
Unique (%)35.5%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct1248
Distinct (%)51.3%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
Fairview High School
 
32
East High School
 
25
Boulder High School
 
25
Cherry Creek High School
 
23
Regis Jesuit High School
 
19
Other values (1243)
2307 
ValueCountFrequency (%) 
Fairview High School321.2%
 
East High School250.9%
 
Boulder High School250.9%
 
Cherry Creek High School230.8%
 
Regis Jesuit High School190.7%
 
Rock Canyon High School190.7%
 
Mountain Vista High School180.7%
 
Arapahoe High School170.6%
 
Lakewood High School170.6%
 
Legacy High School130.5%
 
Other values (1238)222381.8%
 
(Missing)28610.5%
 
2020-11-02T15:22:24.617847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique819 ?
Unique (%)33.7%

HS_TYPE
Categorical

MISSING

Distinct5
Distinct (%)0.2%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
1
2388 
3
 
22
4
 
14
6
 
6
2
 
1
ValueCountFrequency (%) 
1238887.9%
 
3220.8%
 
4140.5%
 
660.2%
 
21< 0.1%
 
(Missing)28610.5%
 
2020-11-02T15:22:24.764630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

HS_STATE
Categorical

MISSING

Distinct50
Distinct (%)2.5%
Missing678
Missing (%)25.0%
Memory size21.2 KiB
CO
683 
CA
361 
IL
123 
TX
96 
WA
 
69
Other values (45)
707 
ValueCountFrequency (%) 
CO68325.1%
 
CA36113.3%
 
IL1234.5%
 
TX963.5%
 
WA692.5%
 
NY542.0%
 
MA521.9%
 
NJ471.7%
 
CT461.7%
 
FL381.4%
 
Other values (40)47017.3%
 
(Missing)67825.0%
 
2020-11-02T15:22:24.912882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)0.2%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct219
Distinct (%)9.0%
Missing291
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean94.79266282
Minimum2
Maximum362
Zeros0
Zeros (%)0.0%
Memory size21.2 KiB
2020-11-02T15:22:25.064618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile29.25
Q164
median91
Q3112
95-th percentile183
Maximum362
Range360
Interquartile range (IQR)48

Descriptive statistics

Standard deviation46.7436647
Coefficient of variation (CV)0.4931147972
Kurtosis3.092734758
Mean94.79266282
Median Absolute Deviation (MAD)24
Skewness1.271576567
Sum229967
Variance2184.970189
MonotocityNot monotonic
2020-11-02T15:22:25.206534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
97632.3%
 
104582.1%
 
107521.9%
 
103421.5%
 
100421.5%
 
90411.5%
 
77411.5%
 
106361.3%
 
85351.3%
 
130341.3%
 
Other values (209)198272.9%
 
(Missing)29110.7%
 
ValueCountFrequency (%) 
230.1%
 
31< 0.1%
 
420.1%
 
81< 0.1%
 
1050.2%
 
ValueCountFrequency (%) 
36220.1%
 
32720.1%
 
3101< 0.1%
 
2841< 0.1%
 
27850.2%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)0.5%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
21
1050 
11
486 
12
235 
13
220 
41
195 
Other values (7)
245 
ValueCountFrequency (%) 
21105038.6%
 
1148617.9%
 
122358.6%
 
132208.1%
 
411957.2%
 
22562.1%
 
33411.5%
 
23371.4%
 
31371.4%
 
32341.3%
 
Other values (2)401.5%
 
(Missing)28610.5%
 
2020-11-02T15:22:25.354829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct979
Distinct (%)48.0%
Missing678
Missing (%)25.0%
Memory size21.2 KiB
80305
 
32
80302
 
25
80020
 
24
80111
 
23
80206
 
22
Other values (974)
1913 
ValueCountFrequency (%) 
80305321.2%
 
80302250.9%
 
80020240.9%
 
80111230.8%
 
80206220.8%
 
80138200.7%
 
80124190.7%
 
80215190.7%
 
80126180.7%
 
80122170.6%
 
Other values (969)182067.0%
 
(Missing)67825.0%
 
2020-11-02T15:22:25.503174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique646 ?
Unique (%)31.7%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct1035
Distinct (%)50.8%
Missing678
Missing (%)25.0%
Memory size21.2 KiB
1515 Greenbriar Boulevard
 
32
1604 Arapahoe Avenue
 
25
9300 East Union Avenue
 
23
1600 City Park Esplanade
 
22
5810 Mcarthur Ranch Road
 
19
Other values (1030)
1918 
ValueCountFrequency (%) 
1515 Greenbriar Boulevard321.2%
 
1604 Arapahoe Avenue250.9%
 
9300 East Union Avenue230.8%
 
1600 City Park Esplanade220.8%
 
5810 Mcarthur Ranch Road190.7%
 
10585 Mountain Vista Ridge180.7%
 
2201 East Dry Creek Road170.6%
 
9700 West 8Th Avenue170.6%
 
385 Winnetka Ave130.5%
 
2701 West 136Th Street130.5%
 
Other values (1025)184067.7%
 
(Missing)67825.0%
 
2020-11-02T15:22:25.675436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique685 ?
Unique (%)33.6%

HS_TYPE_VALUE
Categorical

MISSING

Distinct8
Distinct (%)0.3%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
Regular School
1975 
Regular Elementary Or Secondary
413 
Special Program Emphasis
 
16
Other/Alternative School
 
13
Alternative/Other
 
6
Other values (3)
 
8
ValueCountFrequency (%) 
Regular School197572.7%
 
Regular Elementary Or Secondary41315.2%
 
Special Program Emphasis160.6%
 
Other/Alternative School130.5%
 
Alternative/Other60.2%
 
Vocational School60.2%
 
Special Education1< 0.1%
 
Montessori1< 0.1%
 
(Missing)28610.5%
 
2020-11-02T15:22:25.825110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)0.1%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
Public
1994 
Private
437 
ValueCountFrequency (%) 
Public199473.4%
 
Private43716.1%
 
(Missing)28610.5%
 
2020-11-02T15:22:25.950607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct1289
Distinct (%)53.0%
Missing286
Missing (%)10.5%
Memory size21.2 KiB
060118
 
32
060115
 
25
060515
 
23
060400
 
22
060748
 
19
Other values (1284)
2310 
ValueCountFrequency (%) 
060118321.2%
 
060115250.9%
 
060515230.8%
 
060400220.8%
 
060748190.7%
 
060747180.7%
 
060885170.6%
 
060928170.6%
 
060435150.6%
 
060163130.5%
 
Other values (1279)223082.1%
 
(Missing)28610.5%
 
2020-11-02T15:22:26.098344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique865 ?
Unique (%)35.6%

Dataset statistics

Number of variables123
Number of observations3019
Missing cells185045
Missing cells (%)49.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory984.0 B

Variable types

CAT61
BOOL34
UNSUPPORTED15
NUM10
DATE3

Warnings

YEAR has constant value "3019" Constant
1_HIGH_SCHOOL_TYPE has constant value "3019" Constant
VIRTUAL_EVENT_ENGAGEMENT_COUNT has constant value "3019" Constant
PERSON_BIRTHDATE has a high cardinality: 602 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 3005 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 1084 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 370 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 70 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 2994 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 1556 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 986 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 1546 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 1764 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 59 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 1173 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 73 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 194 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 69 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 1515 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 709 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 768 distinct values High cardinality
HS_NCES_ID has a high cardinality: 1316 distinct values High cardinality
HS_NAME has a high cardinality: 1286 distinct values High cardinality
HS_ZIP has a high cardinality: 983 distinct values High cardinality
HS_ADDRESS has a high cardinality: 1045 distinct values High cardinality
HS_CEEB has a high cardinality: 1318 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 2959 (98.0%) missing values Missing
ETHNICITY has 46 (1.5%) missing values Missing
ADDRESS_COUNTY has 38 (1.3%) missing values Missing
PERSON_HOME_SCHOOL has 3016 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 1479 (49.0%) missing values Missing
PERSON_SATI_MAX_TOTAL has 3016 (99.9%) missing values Missing
PERSON_SATR_MAX_COMPS has 1066 (35.3%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 2940 (97.4%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 2609 (86.4%) missing values Missing
PARENT_CU_ATTENDANCE has 3006 (99.6%) missing values Missing
PARENT_CU_EMPLOYMENT has 3005 (99.5%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 2948 (97.6%) missing values Missing
PERSON_NATIVE_LANGUAGE has 80 (2.6%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 1061 (35.1%) missing values Missing
PERSON_FAFSA_SUBMITTED has 1040 (34.4%) missing values Missing
PERSON_MILITARY_STATUS has 3015 (99.9%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 1949 (64.6%) missing values Missing
PERSON_HS_EQUIVALENCY has 3011 (99.7%) missing values Missing
PERSON_CUMULATIVE_GPA has 2704 (89.6%) missing values Missing
PERSON_HS_GPA_SR has 914 (30.3%) missing values Missing
1_HIGH_SCHOOL_HONORS has 3019 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 2172 (71.9%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 598 (19.8%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 2259 (74.8%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 2313 (76.6%) missing values Missing
PAST_APP_HISTORY has 2959 (98.0%) missing values Missing
PERSON_ENGAGEMENT has 97 (3.2%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 2035 (67.4%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 2035 (67.4%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 2259 (74.8%) missing values Missing
CURRENT_BIN_NAME has 3019 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 3019 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 3019 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 3019 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 3014 (99.8%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 3015 (99.9%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 3014 (99.8%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 3019 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 3019 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 3019 (100.0%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 3019 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 3019 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 3019 (100.0%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 2587 (85.7%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 3019 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 3012 (99.8%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 2972 (98.4%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 3005 (99.5%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 303 (10.0%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 3015 (99.9%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 2978 (98.6%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 2868 (95.0%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 2206 (73.1%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 2972 (98.4%) missing values Missing
APPLICATION_HALE_SCHOLAR has 2949 (97.7%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 3001 (99.4%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 3011 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 3003 (99.5%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 3019 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 2901 (96.1%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 2987 (98.9%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 2925 (96.9%) missing values Missing
APPLICATION_EXCEL has 2967 (98.3%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 2969 (98.3%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 2970 (98.4%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 3013 (99.8%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 3019 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 3016 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 3017 (99.9%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 3012 (99.8%) missing values Missing
PERSON_ENGINEARME has 3019 (100.0%) missing values Missing
HS_CITY_LOCATION has 800 (26.5%) missing values Missing
HS_TOT_ENROLLMENT has 348 (11.5%) missing values Missing
HS_NCES_ID has 348 (11.5%) missing values Missing
HS_NAME has 348 (11.5%) missing values Missing
HS_TYPE has 348 (11.5%) missing values Missing
HS_STATE has 800 (26.5%) missing values Missing
HS_TEACHERS_FTE has 352 (11.7%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 348 (11.5%) missing values Missing
HS_ZIP has 800 (26.5%) missing values Missing
HS_ADDRESS has 800 (26.5%) missing values Missing
HS_TYPE_VALUE has 348 (11.5%) missing values Missing
HS_CLASSIFICATION has 348 (11.5%) missing values Missing
HS_CEEB has 348 (11.5%) missing values Missing
df_index has unique values Unique
APPLICATION_COMMON_APP_ID has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
PERSON_CU_SIS_ID has unique values Unique
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
CURRENT_BIN_NAME is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_RURAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 481 (15.9%) zeros Zeros

Reproduction

Analysis started2020-11-02 22:22:28.767938
Analysis finished2020-11-02 22:22:30.782150
Duration2.01 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct3019
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40103.43491
Minimum30
Maximum60150
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:30.859369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile7022
Q136265
median44240
Q351875
95-th percentile58141
Maximum60150
Range60120
Interquartile range (IQR)15610

Descriptive statistics

Standard deviation16125.01385
Coefficient of variation (CV)0.402085604
Kurtosis0.04951215666
Mean40103.43491
Median Absolute Deviation (MAD)7770
Skewness-1.081928237
Sum121072270
Variance260016071.7
MonotocityStrictly increasing
2020-11-02T15:22:31.018938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
551401< 0.1%
 
382501< 0.1%
 
506801< 0.1%
 
95901< 0.1%
 
587401< 0.1%
 
464501< 0.1%
 
515001< 0.1%
 
341601< 0.1%
 
13901< 0.1%
 
95801< 0.1%
 
Other values (3009)300999.7%
 
ValueCountFrequency (%) 
301< 0.1%
 
601< 0.1%
 
701< 0.1%
 
1201< 0.1%
 
1301< 0.1%
 
ValueCountFrequency (%) 
601501< 0.1%
 
600901< 0.1%
 
599801< 0.1%
 
599401< 0.1%
 
597001< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

UNIQUE

Distinct3019
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
20504746-2019
 
1
20582286-2019
 
1
20535253-2019
 
1
21269404-2019
 
1
21356256-2019
 
1
Other values (3014)
3014 
ValueCountFrequency (%) 
20504746-20191< 0.1%
 
20582286-20191< 0.1%
 
20535253-20191< 0.1%
 
21269404-20191< 0.1%
 
21356256-20191< 0.1%
 
20087241-20191< 0.1%
 
21540190-20191< 0.1%
 
21767694-20191< 0.1%
 
22348980-20191< 0.1%
 
20359495-20191< 0.1%
 
Other values (3009)300999.7%
 
2020-11-02T15:22:31.202025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3019 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct3019
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
852592350
 
1
85385744
 
1
534866844
 
1
909641640
 
1
983925520
 
1
Other values (3014)
3014 
ValueCountFrequency (%) 
8525923501< 0.1%
 
853857441< 0.1%
 
5348668441< 0.1%
 
9096416401< 0.1%
 
9839255201< 0.1%
 
3787269111< 0.1%
 
8785467231< 0.1%
 
2387704381< 0.1%
 
7975198871< 0.1%
 
8572717741< 0.1%
 
Other values (3009)300999.7%
 
2020-11-02T15:22:31.367658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3019 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

UNIQUE

Distinct3019
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
109525141.0
 
1
109513240.0
 
1
109586435.0
 
1
109511044.0
 
1
109472626.0
 
1
Other values (3014)
3014 
ValueCountFrequency (%) 
109525141.01< 0.1%
 
109513240.01< 0.1%
 
109586435.01< 0.1%
 
109511044.01< 0.1%
 
109472626.01< 0.1%
 
109602485.01< 0.1%
 
109466650.01< 0.1%
 
109526602.01< 0.1%
 
109463524.01< 0.1%
 
109505119.01< 0.1%
 
Other values (3009)300999.7%
 
2020-11-02T15:22:31.533149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3019 ?
Unique (%)100.0%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2019
3019 
ValueCountFrequency (%) 
20193019100.0%
 
2020-11-02T15:22:31.813944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2019 Fall
2999 
2019 Spr
 
12
2019 Sum
 
8
ValueCountFrequency (%) 
2019 Fall299999.3%
 
2019 Spr120.4%
 
2019 Sum80.3%
 
2020-11-02T15:22:31.927716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2019 Fall
2954 
2018 Fall
 
40
2019 Spr
 
17
2019 Sum
 
8
ValueCountFrequency (%) 
2019 Fall295497.8%
 
2018 Fall401.3%
 
2019 Spr170.6%
 
2019 Sum80.3%
 
2020-11-02T15:22:32.047446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RESIDENCY_STATUS
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Non-Resident
2118 
Resident
901 
ValueCountFrequency (%) 
Non-Resident211870.2%
 
Resident90129.8%
 
2020-11-02T15:22:32.159212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)1.7%
Missing2959
Missing (%)98.0%
Memory size23.6 KiB
1
 
60
(Missing)
2959 
ValueCountFrequency (%) 
1602.0%
 
(Missing)295998.0%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
F
1561 
M
1458 
ValueCountFrequency (%) 
F156151.7%
 
M145848.3%
 
2020-11-02T15:22:32.266832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)0.2%
Missing46
Missing (%)1.5%
Memory size23.6 KiB
White
2148 
Hispanic
411 
Asian
308 
Black or African American
 
50
American Indian or Alaska Native
 
36
ValueCountFrequency (%) 
White214871.1%
 
Hispanic41113.6%
 
Asian30810.2%
 
Black or African American501.7%
 
American Indian or Alaska Native361.2%
 
Native Hawaiian or Other Pacific Islander200.7%
 
(Missing)461.5%
 
2020-11-02T15:22:32.379068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct602
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2001-03-13
 
17
2001-05-09
 
16
2001-02-20
 
15
2000-11-10
 
15
2001-05-03
 
15
Other values (597)
2941 
ValueCountFrequency (%) 
2001-03-13170.6%
 
2001-05-09160.5%
 
2001-02-20150.5%
 
2000-11-10150.5%
 
2001-05-03150.5%
 
2001-02-02140.5%
 
2000-11-15140.5%
 
2001-04-06140.5%
 
2001-02-08140.5%
 
2000-12-06140.5%
 
Other values (592)287195.1%
 
2020-11-02T15:22:32.525245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique132 ?
Unique (%)4.4%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct3005
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
nan
 
13
280 Ellsworth St
 
2
1105 Bulkey St
 
2
8895 Gainsborough Ave
 
1
44687 Camino Gonzales
 
1
Other values (3000)
3000 
ValueCountFrequency (%) 
nan130.4%
 
280 Ellsworth St20.1%
 
1105 Bulkey St20.1%
 
8895 Gainsborough Ave1< 0.1%
 
44687 Camino Gonzales1< 0.1%
 
1643 Clendenin Ln1< 0.1%
 
6575 S Arapahoe Way1< 0.1%
 
1364 E Weldona Way1< 0.1%
 
302 Cliffside Dr1< 0.1%
 
14904 E Temple Pl1< 0.1%
 
Other values (2995)299599.2%
 
2020-11-02T15:22:32.700804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3002 ?
Unique (%)99.4%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct1084
Distinct (%)36.1%
Missing13
Missing (%)0.4%
Memory size23.6 KiB
Denver
 
132
Aurora
 
61
Highlands Ranch
 
60
Colorado Springs
 
60
Boulder
 
51
Other values (1079)
2642 
ValueCountFrequency (%) 
Denver1324.4%
 
Aurora612.0%
 
Highlands Ranch602.0%
 
Colorado Springs602.0%
 
Boulder511.7%
 
Austin381.3%
 
Littleton361.2%
 
San Diego301.0%
 
Centennial301.0%
 
Parker301.0%
 
Other values (1074)247882.1%
 
2020-11-02T15:22:32.866183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique662 ?
Unique (%)22.0%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct370
Distinct (%)12.4%
Missing38
Missing (%)1.3%
Memory size23.6 KiB
Los Angeles
 
137
Douglas
 
135
Arapahoe
 
128
Boulder
 
120
Denver
 
118
Other values (365)
2343 
ValueCountFrequency (%) 
Los Angeles1374.5%
 
Douglas1354.5%
 
Arapahoe1284.2%
 
Boulder1204.0%
 
Denver1183.9%
 
Orange1043.4%
 
Jefferson923.0%
 
Cook872.9%
 
El Paso822.7%
 
San Diego802.6%
 
Other values (360)189862.9%
 
2020-11-02T15:22:33.032130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique152 ?
Unique (%)5.1%

ADDRESS_REGION
Categorical

HIGH CARDINALITY

Distinct70
Distinct (%)2.3%
Missing17
Missing (%)0.6%
Memory size23.6 KiB
CO
908 
CA
618 
IL
173 
TX
153 
WA
 
100
Other values (65)
1050 
ValueCountFrequency (%) 
CO90830.1%
 
CA61820.5%
 
IL1735.7%
 
TX1535.1%
 
WA1003.3%
 
MA762.5%
 
NY742.5%
 
FL672.2%
 
MD612.0%
 
PA541.8%
 
Other values (60)71823.8%
 
2020-11-02T15:22:33.193735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.7%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct2994
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
nan
 
15
80108-9408
 
2
80305-6539
 
2
80134-9564
 
2
80132-2853
 
2
Other values (2989)
2996 
ValueCountFrequency (%) 
nan150.5%
 
80108-940820.1%
 
80305-653920.1%
 
80134-956420.1%
 
80132-285320.1%
 
80109-457820.1%
 
92679-511620.1%
 
80126-562520.1%
 
80504-740220.1%
 
80924-448820.1%
 
Other values (2984)298698.9%
 
2020-11-02T15:22:33.358677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2982 ?
Unique (%)98.8%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct1556
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
nan
 
35
80126.0
 
30
80016.0
 
26
80111.0
 
24
80027.0
 
22
Other values (1551)
2882 
ValueCountFrequency (%) 
nan351.2%
 
80126.0301.0%
 
80016.0260.9%
 
80111.0240.8%
 
80027.0220.7%
 
80134.0220.7%
 
80504.0180.6%
 
80129.0170.6%
 
80304.0160.5%
 
80130.0160.5%
 
Other values (1546)279392.5%
 
2020-11-02T15:22:33.533302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1054 ?
Unique (%)34.9%

ADDRESS_COUNTRY
Categorical

Distinct17
Distinct (%)0.6%
Missing13
Missing (%)0.4%
Memory size23.6 KiB
United States
2984 
India
 
6
Thailand
 
2
Bermuda
 
1
Federated States of Micronesia
 
1
Other values (12)
 
12
ValueCountFrequency (%) 
United States298498.8%
 
India60.2%
 
Thailand20.1%
 
Bermuda1< 0.1%
 
Federated States of Micronesia1< 0.1%
 
Japan1< 0.1%
 
Ethiopia1< 0.1%
 
Malaysia1< 0.1%
 
Egypt1< 0.1%
 
Oman1< 0.1%
 
Other values (7)70.2%
 
(Missing)130.4%
 
2020-11-02T15:22:33.687660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique14 ?
Unique (%)0.5%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing3016
Missing (%)99.9%
Memory size23.6 KiB
1
 
3
(Missing)
3016 
ValueCountFrequency (%) 
130.1%
 
(Missing)301699.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct22
Distinct (%)1.4%
Missing1479
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean28.50324675
Minimum15
Maximum36
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:33.809111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile21
Q126
median29
Q332
95-th percentile34
Maximum36
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.074117082
Coefficient of variation (CV)0.1429351932
Kurtosis-0.4382710446
Mean28.50324675
Median Absolute Deviation (MAD)3
Skewness-0.4109134863
Sum43895
Variance16.59843
MonotocityNot monotonic
2020-11-02T15:22:33.920753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
301484.9%
 
311374.5%
 
321264.2%
 
291254.1%
 
281244.1%
 
261204.0%
 
271143.8%
 
331113.7%
 
341103.6%
 
25963.2%
 
Other values (12)32910.9%
 
(Missing)147949.0%
 
ValueCountFrequency (%) 
151< 0.1%
 
1620.1%
 
1720.1%
 
1880.3%
 
19160.5%
 
ValueCountFrequency (%) 
36160.5%
 
35471.6%
 
341103.6%
 
331113.7%
 
321264.2%
 

PERSON_SATI_MAX_TOTAL
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing3016
Missing (%)99.9%
Memory size23.6 KiB
1080
1 
1030
1 
910
1 
ValueCountFrequency (%) 
10801< 0.1%
 
10301< 0.1%
 
9101< 0.1%
 
(Missing)301699.9%
 
2020-11-02T15:22:34.040323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)100.0%

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct77
Distinct (%)3.9%
Missing1066
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean1279.610855
Minimum800
Maximum1590
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:34.165034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum800
5-th percentile1050
Q11180
median1280
Q31390
95-th percentile1504
Maximum1590
Range790
Interquartile range (IQR)210

Descriptive statistics

Standard deviation141.6748909
Coefficient of variation (CV)0.1107171687
Kurtosis-0.2858127512
Mean1279.610855
Median Absolute Deviation (MAD)100
Skewness-0.1884394806
Sum2499080
Variance20071.77472
MonotocityNot monotonic
2020-11-02T15:22:34.314417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1270592.0%
 
1330581.9%
 
1340561.9%
 
1300551.8%
 
1230541.8%
 
1210541.8%
 
1280531.8%
 
1250521.7%
 
1240521.7%
 
1180501.7%
 
Other values (67)141046.7%
 
(Missing)106635.3%
 
ValueCountFrequency (%) 
80020.1%
 
8201< 0.1%
 
8301< 0.1%
 
8401< 0.1%
 
8701< 0.1%
 
ValueCountFrequency (%) 
159040.1%
 
158050.2%
 
157070.2%
 
156050.2%
 
1550140.5%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)2.5%
Missing2940
Missing (%)97.4%
Memory size23.6 KiB
1
 
41
0
 
38
(Missing)
2940 
ValueCountFrequency (%) 
1411.4%
 
0381.3%
 
(Missing)294097.4%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)0.2%
Missing2609
Missing (%)86.4%
Memory size23.6 KiB
Yes
410 
ValueCountFrequency (%) 
Yes41013.6%
 
(Missing)260986.4%
 
2020-11-02T15:22:34.456217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
nan
3010 
11+
 
9
ValueCountFrequency (%) 
nan301099.7%
 
11+90.3%
 
2020-11-02T15:22:34.564525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct9
Distinct (%)0.3%
Missing7
Missing (%)0.2%
Memory size23.6 KiB
G. Bachelor's Level Degree
1304 
H. Some Graduate School
1051 
C. High School Graduate or Equivalent
236 
D. Some College
178 
E. Technical School
139 
Other values (4)
 
104
ValueCountFrequency (%) 
G. Bachelor's Level Degree130443.2%
 
H. Some Graduate School105134.8%
 
C. High School Graduate or Equivalent2367.8%
 
D. Some College1785.9%
 
E. Technical School1394.6%
 
B. Less Than High School Graduate892.9%
 
A. Not Indicated110.4%
 
I. Master's Level Degree30.1%
 
K. Doctorate (Professional)1< 0.1%
 
(Missing)70.2%
 
2020-11-02T15:22:34.680804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)15.4%
Missing3006
Missing (%)99.6%
Memory size23.6 KiB
0
 
9
1
 
4
(Missing)
3006 
ValueCountFrequency (%) 
090.3%
 
140.1%
 
(Missing)300699.6%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)14.3%
Missing3005
Missing (%)99.5%
Memory size23.6 KiB
0
 
10
1
 
4
(Missing)
3005 
ValueCountFrequency (%) 
0100.3%
 
140.1%
 
(Missing)300599.5%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct2
Distinct (%)2.8%
Missing2948
Missing (%)97.6%
Memory size23.6 KiB
1
 
67
0
 
4
(Missing)
2948 
ValueCountFrequency (%) 
1672.2%
 
040.1%
 
(Missing)294897.6%
 

PERSON_NATIVE_LANGUAGE
Categorical

MISSING

Distinct30
Distinct (%)1.0%
Missing80
Missing (%)2.6%
Memory size23.6 KiB
EN
2791 
SP
 
77
FR
 
16
GE
 
5
RU
 
5
Other values (25)
 
45
ValueCountFrequency (%) 
EN279192.4%
 
SP772.6%
 
FR160.5%
 
GE50.2%
 
RU50.2%
 
CM50.2%
 
AR30.1%
 
JA30.1%
 
PH30.1%
 
PO30.1%
 
Other values (20)280.9%
 
(Missing)802.6%
 
2020-11-02T15:22:34.813668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique14 ?
Unique (%)0.5%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)0.4%
Missing1061
Missing (%)35.1%
Memory size23.6 KiB
G. More than $150,000
1129 
F. $100,000 - $149,999
339 
C. $35,000 - $59,999
142 
E. $75,000 - $99,999
138 
B. $15,000 - $34,999
 
83
Other values (2)
127 
ValueCountFrequency (%) 
G. More than $150,000112937.4%
 
F. $100,000 - $149,99933911.2%
 
C. $35,000 - $59,9991424.7%
 
E. $75,000 - $99,9991384.6%
 
B. $15,000 - $34,999832.7%
 
D. $60,000 - $74,999822.7%
 
A. $0 - $15,000451.5%
 
(Missing)106135.1%
 
2020-11-02T15:22:35.098087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing1040
Missing (%)34.4%
Memory size23.6 KiB
1
1979 
(Missing)
1040 
ValueCountFrequency (%) 
1197965.6%
 
(Missing)104034.4%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct3
Distinct (%)75.0%
Missing3015
Missing (%)99.9%
Memory size23.6 KiB
Previously Served
2 
Current Dependent
1 
No relationship
1 
ValueCountFrequency (%) 
Previously Served20.1%
 
Current Dependent1< 0.1%
 
No relationship1< 0.1%
 
(Missing)301599.9%
 
2020-11-02T15:22:35.212648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)50.0%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf)

MISSING

Distinct80
Distinct (%)7.5%
Missing1949
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean76.32429907
Minimum-737
Maximum100
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:35.339048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-737
5-th percentile41
Q165
median81
Q392
95-th percentile99
Maximum100
Range837
Interquartile range (IQR)27

Descriptive statistics

Standard deviation30.76241174
Coefficient of variation (CV)0.4030487291
Kurtosis457.0356892
Mean76.32429907
Median Absolute Deviation (MAD)13
Skewness-17.47116932
Sum81667
Variance946.3259759
MonotocityNot monotonic
2020-11-02T15:22:35.469425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
98391.3%
 
100371.2%
 
93341.1%
 
99331.1%
 
95321.1%
 
90311.0%
 
97301.0%
 
96291.0%
 
89270.9%
 
92270.9%
 
Other values (70)75124.9%
 
(Missing)194964.6%
 
ValueCountFrequency (%) 
-7371< 0.1%
 
-111< 0.1%
 
161< 0.1%
 
171< 0.1%
 
241< 0.1%
 
ValueCountFrequency (%) 
100371.2%
 
99331.1%
 
98391.3%
 
97301.0%
 
96291.0%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing3011
Missing (%)99.7%
Memory size23.6 KiB
1
 
8
(Missing)
3011 
ValueCountFrequency (%) 
180.3%
 
(Missing)301199.7%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct127
Distinct (%)40.3%
Missing2704
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean3.505457143
Minimum0.25
Maximum4
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:35.607100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile2
Q13.227
median3.7
Q34
95-th percentile4
Maximum4
Range3.75
Interquartile range (IQR)0.773

Descriptive statistics

Standard deviation0.6162264767
Coefficient of variation (CV)0.1757906178
Kurtosis3.599728396
Mean3.505457143
Median Absolute Deviation (MAD)0.3
Skewness-1.740814511
Sum1104.219
Variance0.3797350706
MonotocityNot monotonic
2020-11-02T15:22:35.752209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41103.6%
 
3210.7%
 
3.7150.5%
 
3.590.3%
 
290.3%
 
3.350.2%
 
3.33350.2%
 
3.7530.1%
 
2.330.1%
 
3.19420.1%
 
Other values (117)1334.4%
 
(Missing)270489.6%
 
ValueCountFrequency (%) 
0.251< 0.1%
 
1.1581< 0.1%
 
1.51< 0.1%
 
1.5711< 0.1%
 
1.6681< 0.1%
 
ValueCountFrequency (%) 
41103.6%
 
3.9721< 0.1%
 
3.951< 0.1%
 
3.9321< 0.1%
 
3.9181< 0.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

Distinct735
Distinct (%)24.4%
Missing6
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3.732509791
Minimum2.415
Maximum4
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:35.905419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.415
5-th percentile3.1326
Q13.526
median3.85
Q34
95-th percentile4
Maximum4
Range1.585
Interquartile range (IQR)0.474

Descriptive statistics

Standard deviation0.3065255693
Coefficient of variation (CV)0.08212317889
Kurtosis0.3344556651
Mean3.732509791
Median Absolute Deviation (MAD)0.15
Skewness-1.041199802
Sum11246.052
Variance0.09395792462
MonotocityNot monotonic
2020-11-02T15:22:36.056217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4111136.8%
 
3.5240.8%
 
3.8170.6%
 
3.92160.5%
 
3.58150.5%
 
3.9150.5%
 
3.86140.5%
 
3.7140.5%
 
3.95130.4%
 
3.67130.4%
 
Other values (725)176158.3%
 
ValueCountFrequency (%) 
2.4151< 0.1%
 
2.5411< 0.1%
 
2.6151< 0.1%
 
2.621< 0.1%
 
2.631< 0.1%
 
ValueCountFrequency (%) 
4111136.8%
 
3.9971< 0.1%
 
3.9961< 0.1%
 
3.9951< 0.1%
 
3.99420.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct986
Distinct (%)46.8%
Missing914
Missing (%)30.3%
Memory size23.6 KiB
4.00
 
39
3.70
 
31
3.30
 
23
3.67
 
21
3.00
 
18
Other values (981)
1973 
ValueCountFrequency (%) 
4.00391.3%
 
3.70311.0%
 
3.30230.8%
 
3.67210.7%
 
3.00180.6%
 
3.95160.5%
 
3.92150.5%
 
3.82150.5%
 
3.97140.5%
 
4.25140.5%
 
Other values (976)189962.9%
 
(Missing)91430.3%
 
2020-11-02T15:22:36.240956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique690 ?
Unique (%)32.8%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct1546
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
060515
 
38
060118
 
33
060400
 
26
060115
 
24
060747
 
20
Other values (1541)
2878 
ValueCountFrequency (%) 
060515381.3%
 
060118331.1%
 
060400260.9%
 
060115240.8%
 
060747200.7%
 
060748150.5%
 
060435140.5%
 
060928140.5%
 
060086140.5%
 
060130140.5%
 
Other values (1536)280793.0%
 
2020-11-02T15:22:36.420495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1012 ?
Unique (%)33.5%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct1764
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Cherry Creek High School
 
31
Fairview High School
 
29
East High School
 
20
Boulder High School
 
20
Mountain Vista High School
 
17
Other values (1759)
2902 
ValueCountFrequency (%) 
Cherry Creek High School311.0%
 
Fairview High School291.0%
 
East High School200.7%
 
Boulder High School200.7%
 
Mountain Vista High School170.6%
 
Chaparral High School140.5%
 
Arapahoe High School130.4%
 
Cherokee Trail High School130.4%
 
Westlake High School120.4%
 
Grandview High School120.4%
 
Other values (1754)283894.0%
 
2020-11-02T15:22:36.594047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1258 ?
Unique (%)41.7%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Minimum2015-05-01 00:00:00
Maximum2019-08-01 00:00:00
2020-11-02T15:22:36.718529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:36.835127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY

Distinct59
Distinct (%)2.0%
Missing29
Missing (%)1.0%
Memory size23.6 KiB
CO
892 
CA
618 
IL
172 
TX
153 
WA
 
99
Other values (54)
1056 
ValueCountFrequency (%) 
CO89229.5%
 
CA61820.5%
 
IL1725.7%
 
TX1535.1%
 
WA993.3%
 
MA802.6%
 
NY742.5%
 
FL672.2%
 
MD642.1%
 
PA541.8%
 
Other values (49)71723.7%
 
2020-11-02T15:22:36.992247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique9 ?
Unique (%)0.3%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct1173
Distinct (%)39.0%
Missing8
Missing (%)0.3%
Memory size23.6 KiB
Denver
 
102
Aurora
 
68
Boulder
 
50
Highlands Ranch
 
45
Littleton
 
39
Other values (1168)
2707 
ValueCountFrequency (%) 
Denver1023.4%
 
Aurora682.3%
 
Boulder501.7%
 
Highlands Ranch451.5%
 
Littleton391.3%
 
Colorado Springs361.2%
 
Englewood291.0%
 
San Diego250.8%
 
Chicago230.8%
 
Fort Collins230.8%
 
Other values (1163)257185.2%
 
2020-11-02T15:22:37.153809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique725 ?
Unique (%)24.1%

1_HIGH_SCHOOL_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
High School
3019 
ValueCountFrequency (%) 
High School3019100.0%
 
2020-11-02T15:22:37.283627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing2172
Missing (%)71.9%
Memory size23.6 KiB
Other college listed
842 
Yes
 
5
ValueCountFrequency (%) 
Other college listed84227.9%
 
Yes50.2%
 
(Missing)217271.9%
 
2020-11-02T15:22:37.387370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
No
2281 
Yes
738 
ValueCountFrequency (%) 
No228175.6%
 
Yes73824.4%
 

ADMITTED_COLLEGE
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
ARSCU
1317 
MULTU
754 
ENGRU
392 
BUSNU
294 
CMCIU
160 
Other values (3)
 
102
ValueCountFrequency (%) 
ARSCU131743.6%
 
MULTU75425.0%
 
ENGRU39213.0%
 
BUSNU2949.7%
 
CMCIU1605.3%
 
EDUCU571.9%
 
ARPLU311.0%
 
MUSCU140.5%
 
2020-11-02T15:22:37.501095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
College of Arts & Sciences
1303 
College of Engineering & Applied Science
713 
Leeds School of Business
681 
College of Media, Communication & Information
193 
School of Education
 
66
Other values (2)
 
63
ValueCountFrequency (%) 
College of Arts & Sciences130343.2%
 
College of Engineering & Applied Science71323.6%
 
Leeds School of Business68122.6%
 
College of Media, Communication & Information1936.4%
 
School of Education662.2%
 
Program in Environmental Design351.2%
 
College of Music280.9%
 
2020-11-02T15:22:37.628395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Business - Open Option (Undecided)
362 
Psychology
 
193
Biological Sciences-Molecular, Cellular, & Developmental Biology
 
151
Arts and Sciences - Open Option (Undecided)
 
144
Aerospace Engineering Sciences
 
134
Other values (68)
2035 
ValueCountFrequency (%) 
Business - Open Option (Undecided)36212.0%
 
Psychology1936.4%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology1515.0%
 
Arts and Sciences - Open Option (Undecided)1444.8%
 
Aerospace Engineering Sciences1344.4%
 
Mechanical Engineering1204.0%
 
Computer Science (Engineering, BS)1093.6%
 
Marketing1053.5%
 
Management & Entrepreneurship993.3%
 
Biological Sciences-Integrative Physiology963.2%
 
Other values (63)150649.9%
 
2020-11-02T15:22:37.784381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)0.2%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct194
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2018-10-30 12:00 AM
393 
2018-11-15 12:00 AM
343 
2018-11-14 12:00 AM
225 
2019-01-15 12:00 AM
 
176
2018-11-13 12:00 AM
 
108
Other values (189)
1774 
ValueCountFrequency (%) 
2018-10-30 12:00 AM39313.0%
 
2018-11-15 12:00 AM34311.4%
 
2018-11-14 12:00 AM2257.5%
 
2019-01-15 12:00 AM1765.8%
 
2018-11-13 12:00 AM1083.6%
 
2018-10-31 12:00 AM983.2%
 
2018-11-12 12:00 AM792.6%
 
2019-01-14 12:00 AM782.6%
 
2018-11-16 12:00 AM772.6%
 
2019-01-16 12:00 AM742.5%
 
Other values (184)136845.3%
 
2020-11-02T15:22:38.143252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique49 ?
Unique (%)1.6%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Admit First Choice Program
2215 
Admit Exploratory Studies
482 
Admit Pre Business
 
158
Admit Pre Engineering
 
91
Admit Exploratory Studies with Excel Invite
 
28
Other values (4)
 
45
ValueCountFrequency (%) 
Admit First Choice Program221573.4%
 
Admit Exploratory Studies48216.0%
 
Admit Pre Business1585.2%
 
Admit Pre Engineering913.0%
 
Admit Exploratory Studies with Excel Invite280.9%
 
Admit Exploratory Studies with GoldShirt Invite130.4%
 
Admit McNeill to Exploratory Studies120.4%
 
Admit Arts and Science AMO100.3%
 
Admit McNeill100.3%
 
2020-11-02T15:22:38.290263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct69
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2019-01-11 06:53 PM
1025 
2019-01-11 06:48 PM
1000 
2019-03-01 07:15 PM
536 
2019-03-01 07:22 PM
123 
2019-03-01 07:18 PM
 
84
Other values (64)
251 
ValueCountFrequency (%) 
2019-01-11 06:53 PM102534.0%
 
2019-01-11 06:48 PM100033.1%
 
2019-03-01 07:15 PM53617.8%
 
2019-03-01 07:22 PM1234.1%
 
2019-03-01 07:18 PM842.8%
 
2019-03-28 02:26 PM602.0%
 
2019-04-17 06:37 PM602.0%
 
2019-01-11 06:55 PM110.4%
 
2018-03-14 04:30 PM100.3%
 
2019-03-01 09:57 PM100.3%
 
Other values (59)1003.3%
 
2020-11-02T15:22:38.428819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique43 ?
Unique (%)1.4%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct1515
Distinct (%)62.6%
Missing598
Missing (%)19.8%
Memory size23.6 KiB
2019-01-11 07:34 PM
 
21
2019-03-01 07:42 PM
 
20
2019-01-11 07:32 PM
 
20
2019-01-11 07:41 PM
 
17
2019-01-11 07:35 PM
 
16
Other values (1510)
2327 
ValueCountFrequency (%) 
2019-01-11 07:34 PM210.7%
 
2019-03-01 07:42 PM200.7%
 
2019-01-11 07:32 PM200.7%
 
2019-01-11 07:41 PM170.6%
 
2019-01-11 07:35 PM160.5%
 
2019-01-11 07:44 PM160.5%
 
2019-03-01 07:41 PM160.5%
 
2019-01-11 07:39 PM140.5%
 
2019-03-01 07:43 PM140.5%
 
2019-01-11 07:43 PM140.5%
 
Other values (1505)225374.6%
 
(Missing)59819.8%
 
2020-11-02T15:22:38.599642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1224 ?
Unique (%)50.6%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct709
Distinct (%)93.3%
Missing2259
Missing (%)74.8%
Memory size23.6 KiB
2019-02-04 11:20 AM
 
4
2019-01-13 10:50 PM
 
3
2019-04-11 11:32 PM
 
3
2019-02-04 04:07 PM
 
2
2019-01-12 03:02 PM
 
2
Other values (704)
746 
ValueCountFrequency (%) 
2019-02-04 11:20 AM40.1%
 
2019-01-13 10:50 PM30.1%
 
2019-04-11 11:32 PM30.1%
 
2019-02-04 04:07 PM20.1%
 
2019-01-12 03:02 PM20.1%
 
2019-05-01 10:48 AM20.1%
 
2019-03-02 03:28 PM20.1%
 
2019-04-23 11:46 AM20.1%
 
2019-04-21 03:28 PM20.1%
 
2019-04-11 05:08 PM20.1%
 
Other values (699)73624.4%
 
(Missing)225974.8%
 
2020-11-02T15:22:38.776936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique662 ?
Unique (%)87.1%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing2313
Missing (%)76.6%
Memory size23.6 KiB
1
706 
(Missing)
2313 
ValueCountFrequency (%) 
170623.4%
 
(Missing)231376.6%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Admit
1678 
Deposit Paid
676 
Withdraw
619 
Defer (Deposit Paid)
 
23
Deposit Pending
 
12
ValueCountFrequency (%) 
Admit167855.6%
 
Deposit Paid67622.4%
 
Withdraw61920.5%
 
Defer (Deposit Paid)230.8%
 
Deposit Pending120.4%
 
Defer Admit110.4%
 
2020-11-02T15:22:38.923491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PAST_APP_HISTORY
Categorical

MISSING

Distinct22
Distinct (%)36.7%
Missing2959
Missing (%)98.0%
Memory size23.6 KiB
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)
20 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)
7 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)
7 
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)
3 
2019 Fall FR (2019-05-01 Withdraw: Decline Offer of Admission)
 
2
Other values (17)
21 
ValueCountFrequency (%) 
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)200.7%
 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)70.2%
 
2019 Fall FR (2019-03-01 Admit: Admit First Choice Program)70.2%
 
2018 Fall FR (2018-01-16 Admit: Admit First Choice Program)30.1%
 
2019 Fall FR (2019-05-01 Withdraw: Decline Offer of Admission)20.1%
 
2019 Fall FR (2019-03-01 Admit: Admit Exploratory Studies)20.1%
 
2019 Fall FR (2019-04-15 Withdraw: Decline Offer of Admission)20.1%
 
2019 Fall FR (2019-01-11 Admit: Admit Music Pre-Audition)20.1%
 
2019 Fall FR (2019-05-14 Withdraw: Decline Offer of Admission)20.1%
 
2019 Fall FR (2019-04-16 Withdraw: Decline Offer of Admission)1< 0.1%
 
Other values (12)120.4%
 
(Missing)295998.0%
 
2020-11-02T15:22:39.058187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique13 ?
Unique (%)21.7%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)0.2%
Missing97
Missing (%)3.2%
Memory size23.6 KiB
Blue
925 
Red
666 
Purple
463 
Black
458 
Green
360 
ValueCountFrequency (%) 
Blue92530.6%
 
Red66622.1%
 
Purple46315.3%
 
Black45815.2%
 
Green36011.9%
 
Yellow501.7%
 
(Missing)973.2%
 
2020-11-02T15:22:39.183047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

ZEROS

Distinct485
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.42464392
Minimum0
Maximum4477
Zeros481
Zeros (%)15.9%
Memory size23.6 KiB
2020-11-02T15:22:39.302663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28
Q393.5
95-th percentile433.1
Maximum4477
Range4477
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation181.4720837
Coefficient of variation (CV)1.984936183
Kurtosis123.8725879
Mean91.42464392
Median Absolute Deviation (MAD)28
Skewness7.265103872
Sum276011
Variance32932.11717
MonotocityNot monotonic
2020-11-02T15:22:39.439880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
048115.9%
 
1923.0%
 
3742.5%
 
4581.9%
 
2561.9%
 
5521.7%
 
8481.6%
 
6461.5%
 
10451.5%
 
7441.5%
 
Other values (475)202367.0%
 
ValueCountFrequency (%) 
048115.9%
 
1923.0%
 
2561.9%
 
3742.5%
 
4581.9%
 
ValueCountFrequency (%) 
44771< 0.1%
 
18491< 0.1%
 
14531< 0.1%
 
14421< 0.1%
 
13381< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct61
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.94898973
Minimum0
Maximum69
Zeros25
Zeros (%)0.8%
Memory size23.6 KiB
2020-11-02T15:22:39.579571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median16
Q322
95-th percentile33
Maximum69
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.225080064
Coefficient of variation (CV)0.5442849521
Kurtosis1.692095354
Mean16.94898973
Median Absolute Deviation (MAD)6
Skewness0.885071271
Sum51169
Variance85.10210219
MonotocityNot monotonic
2020-11-02T15:22:39.721968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
121494.9%
 
151424.7%
 
181364.5%
 
141364.5%
 
101334.4%
 
191314.3%
 
171304.3%
 
111294.3%
 
131264.2%
 
211234.1%
 
Other values (51)168455.8%
 
ValueCountFrequency (%) 
0250.8%
 
1361.2%
 
2381.3%
 
3391.3%
 
4491.6%
 
ValueCountFrequency (%) 
691< 0.1%
 
651< 0.1%
 
611< 0.1%
 
591< 0.1%
 
5720.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
0
3019 
ValueCountFrequency (%) 
03019100.0%
 

ON_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
0
2035 
1
922 
2
 
59
3
 
3
ValueCountFrequency (%) 
0203567.4%
 
192230.5%
 
2592.0%
 
330.1%
 
2020-11-02T15:22:39.872996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct36
Distinct (%)3.7%
Missing2035
Missing (%)67.4%
Memory size23.6 KiB
Information Session & Campus Tour
692 
Information Session & Campus Tours
91 
Explore CU
 
31
Explore CU Boulder
 
30
Engineer Your Future: Engineering Sampler
 
17
Other values (31)
123 
ValueCountFrequency (%) 
Information Session & Campus Tour69222.9%
 
Information Session & Campus Tours913.0%
 
Explore CU311.0%
 
Explore CU Boulder301.0%
 
Engineer Your Future: Engineering Sampler170.6%
 
Discover CU Boulder130.4%
 
Talented Scholars Day 2018110.4%
 
Chancellor's & Presidential Scholarship Reception: Admitted Students Day110.4%
 
Ralphie's Visit90.3%
 
Leeds Luncheon90.3%
 
Other values (26)702.3%
 
(Missing)203567.4%
 
2020-11-02T15:22:40.020777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)0.6%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct506
Distinct (%)51.4%
Missing2035
Missing (%)67.4%
Memory size23.6 KiB
Minimum2017-06-12 09:30:00
Maximum2020-03-12 09:30:00
2020-11-02T15:22:40.167100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:40.305159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
0
2585 
1
391 
2
 
40
3
 
3
ValueCountFrequency (%) 
0258585.6%
 
139113.0%
 
2401.3%
 
330.1%
 
2020-11-02T15:22:40.436758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
No
2343 
Yes
676 
ValueCountFrequency (%) 
No234377.6%
 
Yes67622.4%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct709
Distinct (%)93.3%
Missing2259
Missing (%)74.8%
Memory size23.6 KiB
Minimum2018-01-24 10:22:35
Maximum2019-07-11 22:36:46
2020-11-02T15:22:40.555398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:40.699148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Categorical

MISSING

Distinct3
Distinct (%)60.0%
Missing3014
Missing (%)99.8%
Memory size23.6 KiB
D. Some College
3 
H. Some Graduate School
1 
G. Bachelor's Level Degree
1 
ValueCountFrequency (%) 
D. Some College30.1%
 
H. Some Graduate School1< 0.1%
 
G. Bachelor's Level Degree1< 0.1%
 
(Missing)301499.8%
 
2020-11-02T15:22:41.004164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)40.0%

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)50.0%
Missing3015
Missing (%)99.9%
Memory size23.6 KiB
0
 
3
1
 
1
(Missing)
3015 
ValueCountFrequency (%) 
030.1%
 
11< 0.1%
 
(Missing)301599.9%
 

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Boolean

MISSING

Distinct2
Distinct (%)40.0%
Missing3014
Missing (%)99.8%
Memory size23.6 KiB
1
 
4
0
 
1
(Missing)
3014 
ValueCountFrequency (%) 
140.1%
 
01< 0.1%
 
(Missing)301499.8%
 

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct6
Distinct (%)1.4%
Missing2587
Missing (%)85.7%
Memory size23.6 KiB
Colorado Free Application Day (Colorado residents only)
379 
CU Boulder application workshop participant
 
20
Other pre-approved application fee waiver (must have valid code)
 
19
Outstanding Colorado Student (by invitation only)
 
8
Pre-approved athletic waiver
 
4
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)37912.6%
 
CU Boulder application workshop participant200.7%
 
Other pre-approved application fee waiver (must have valid code)190.6%
 
Outstanding Colorado Student (by invitation only)80.3%
 
Pre-approved athletic waiver40.1%
 
Pre-Collegiate Program participant (CO residents, by invitation only)20.1%
 
(Missing)258785.7%
 
2020-11-02T15:22:41.135021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing3012
Missing (%)99.8%
Memory size23.6 KiB
1
 
7
(Missing)
3012 
ValueCountFrequency (%) 
170.2%
 
(Missing)301299.8%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

MISSING

Distinct2
Distinct (%)4.3%
Missing2972
Missing (%)98.4%
Memory size23.6 KiB
0
 
37
1
 
10
(Missing)
2972 
ValueCountFrequency (%) 
0371.2%
 
1100.3%
 
(Missing)297298.4%
 

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct3
Distinct (%)21.4%
Missing3005
Missing (%)99.5%
Memory size23.6 KiB
<1
8 
0
5 
>20
1 
ValueCountFrequency (%) 
<180.3%
 
050.2%
 
>201< 0.1%
 
(Missing)300599.5%
 
2020-11-02T15:22:41.254350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)7.1%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing303
Missing (%)10.0%
Memory size23.6 KiB
0
2621 
<1
 
95
ValueCountFrequency (%) 
0262186.8%
 
<1953.1%
 
(Missing)30310.0%
 
2020-11-02T15:22:41.366621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing3015
Missing (%)99.9%
Memory size23.6 KiB
1
 
4
(Missing)
3015 
ValueCountFrequency (%) 
140.1%
 
(Missing)301599.9%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.4%
Missing2978
Missing (%)98.6%
Memory size23.6 KiB
1
 
41
(Missing)
2978 
ValueCountFrequency (%) 
1411.4%
 
(Missing)297898.6%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.7%
Missing2868
Missing (%)95.0%
Memory size23.6 KiB
1
 
151
(Missing)
2868 
ValueCountFrequency (%) 
11515.0%
 
(Missing)286895.0%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct2
Distinct (%)0.2%
Missing2206
Missing (%)73.1%
Memory size23.6 KiB
1
812 
0
 
1
(Missing)
2206 
ValueCountFrequency (%) 
181226.9%
 
01< 0.1%
 
(Missing)220673.1%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.1%
Missing2972
Missing (%)98.4%
Memory size23.6 KiB
1
 
47
(Missing)
2972 
ValueCountFrequency (%) 
1471.6%
 
(Missing)297298.4%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.4%
Missing2949
Missing (%)97.7%
Memory size23.6 KiB
1
 
70
(Missing)
2949 
ValueCountFrequency (%) 
1702.3%
 
(Missing)294997.7%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)5.6%
Missing3001
Missing (%)99.4%
Memory size23.6 KiB
1
 
18
(Missing)
3001 
ValueCountFrequency (%) 
1180.6%
 
(Missing)300199.4%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing3011
Missing (%)99.7%
Memory size23.6 KiB
1
 
8
(Missing)
3011 
ValueCountFrequency (%) 
180.3%
 
(Missing)301199.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Boolean

MISSING

Distinct1
Distinct (%)6.2%
Missing3003
Missing (%)99.5%
Memory size23.6 KiB
1
 
16
(Missing)
3003 
ValueCountFrequency (%) 
1160.5%
 
(Missing)300399.5%
 

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct2
Distinct (%)1.7%
Missing2901
Missing (%)96.1%
Memory size23.6 KiB
1
 
117
0
 
1
(Missing)
2901 
ValueCountFrequency (%) 
11173.9%
 
01< 0.1%
 
(Missing)290196.1%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)3.1%
Missing2987
Missing (%)98.9%
Memory size23.6 KiB
1
 
32
(Missing)
2987 
ValueCountFrequency (%) 
1321.1%
 
(Missing)298798.9%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.1%
Missing2925
Missing (%)96.9%
Memory size23.6 KiB
1
 
94
(Missing)
2925 
ValueCountFrequency (%) 
1943.1%
 
(Missing)292596.9%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct3
Distinct (%)5.8%
Missing2967
Missing (%)98.3%
Memory size23.6 KiB
Excel referral
23 
Excel interview invite
17 
Excel admit
12 
ValueCountFrequency (%) 
Excel referral230.8%
 
Excel interview invite170.6%
 
Excel admit120.4%
 
(Missing)296798.3%
 
2020-11-02T15:22:41.478092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

MISSING

Distinct2
Distinct (%)4.0%
Missing2969
Missing (%)98.3%
Memory size23.6 KiB
0
 
26
1
 
24
(Missing)
2969 
ValueCountFrequency (%) 
0260.9%
 
1240.8%
 
(Missing)296998.3%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)2.0%
Missing2970
Missing (%)98.4%
Memory size23.6 KiB
1
 
49
(Missing)
2970 
ValueCountFrequency (%) 
1491.6%
 
(Missing)297098.4%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)16.7%
Missing3013
Missing (%)99.8%
Memory size23.6 KiB
1
 
6
(Missing)
3013 
ValueCountFrequency (%) 
160.2%
 
(Missing)301399.8%
 

PERSON_PRE_COLLEGIATE_RURAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing3016
Missing (%)99.9%
Memory size23.6 KiB
1
 
3
(Missing)
3016 
ValueCountFrequency (%) 
130.1%
 
(Missing)301699.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing3017
Missing (%)99.9%
Memory size23.6 KiB
1
 
2
(Missing)
3017 
ValueCountFrequency (%) 
120.1%
 
(Missing)301799.9%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing3012
Missing (%)99.8%
Memory size23.6 KiB
1
 
7
(Missing)
3012 
ValueCountFrequency (%) 
170.2%
 
(Missing)301299.8%
 

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3019
Missing (%)100.0%
Memory size23.7 KiB

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct768
Distinct (%)34.6%
Missing800
Missing (%)26.5%
Memory size23.6 KiB
Denver
 
78
Highlands Ranch
 
59
Boulder
 
58
Aurora
 
57
Colorado Springs
 
47
Other values (763)
1920 
ValueCountFrequency (%) 
Denver782.6%
 
Highlands Ranch592.0%
 
Boulder581.9%
 
Aurora571.9%
 
Colorado Springs471.6%
 
Greenwood Village381.3%
 
San Diego341.1%
 
Littleton311.0%
 
Austin311.0%
 
Fort Collins240.8%
 
Other values (758)176258.4%
 
(Missing)80026.5%
 
2020-11-02T15:22:41.625986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique439 ?
Unique (%)19.8%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct1066
Distinct (%)39.9%
Missing348
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean1665.43392
Minimum28
Maximum5286
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:41.778227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile400
Q11063.5
median1654
Q32179
95-th percentile3100
Maximum5286
Range5258
Interquartile range (IQR)1115.5

Descriptive statistics

Standard deviation842.542004
Coefficient of variation (CV)0.5058993899
Kurtosis0.4074455216
Mean1665.43392
Median Absolute Deviation (MAD)564
Skewness0.5338402007
Sum4448374
Variance709877.0285
MonotocityNot monotonic
2020-11-02T15:22:41.931589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3720391.3%
 
2179361.2%
 
1684280.9%
 
2603260.9%
 
2103250.8%
 
2332200.7%
 
2266200.7%
 
1712140.5%
 
2842140.5%
 
2250140.5%
 
Other values (1056)243580.7%
 
(Missing)34811.5%
 
ValueCountFrequency (%) 
2820.1%
 
5620.1%
 
591< 0.1%
 
661< 0.1%
 
851< 0.1%
 
ValueCountFrequency (%) 
528630.1%
 
509820.1%
 
451730.1%
 
43461< 0.1%
 
434550.2%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct1316
Distinct (%)49.3%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
080291000186
 
38
080249000114
 
33
A9101574
 
26
080336000338
 
26
080249000101
 
24
Other values (1311)
2524 
ValueCountFrequency (%) 
080291000186381.3%
 
080249000114331.1%
 
A9101574260.9%
 
080336000338260.9%
 
080249000101240.8%
 
080345001748200.7%
 
080345001961150.5%
 
080531000873140.5%
 
080249001632140.5%
 
080291001951140.5%
 
Other values (1306)244781.1%
 
(Missing)34811.5%
 
2020-11-02T15:22:42.109318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique839 ?
Unique (%)31.4%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct1286
Distinct (%)48.1%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
Cherry Creek High School
 
38
Fairview High School
 
33
East High School
 
27
Regis Jesuit High School
 
26
Boulder High School
 
24
Other values (1281)
2523 
ValueCountFrequency (%) 
Cherry Creek High School381.3%
 
Fairview High School331.1%
 
East High School270.9%
 
Regis Jesuit High School260.9%
 
Boulder High School240.8%
 
Mountain Vista High School200.7%
 
Rock Canyon High School150.5%
 
Chaparral High School140.5%
 
Cherokee Trail High School140.5%
 
Monarch High School140.5%
 
Other values (1276)244681.0%
 
(Missing)34811.5%
 
2020-11-02T15:22:42.292004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique807 ?
Unique (%)30.2%

HS_TYPE
Categorical

MISSING

Distinct5
Distinct (%)0.2%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
1
2618 
3
 
30
4
 
12
6
 
7
2
 
4
ValueCountFrequency (%) 
1261886.7%
 
3301.0%
 
4120.4%
 
670.2%
 
240.1%
 
(Missing)34811.5%
 
2020-11-02T15:22:42.441079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

MISSING

Distinct47
Distinct (%)2.1%
Missing800
Missing (%)26.5%
Memory size23.6 KiB
CO
734 
CA
432 
IL
139 
TX
108 
WA
 
72
Other values (42)
734 
ValueCountFrequency (%) 
CO73424.3%
 
CA43214.3%
 
IL1394.6%
 
TX1083.6%
 
WA722.4%
 
MA662.2%
 
NY541.8%
 
MD491.6%
 
PA451.5%
 
NJ451.5%
 
Other values (37)47515.7%
 
(Missing)80026.5%
 
2020-11-02T15:22:42.585425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct216
Distinct (%)8.1%
Missing352
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean93.8927634
Minimum2
Maximum310
Zeros0
Zeros (%)0.0%
Memory size23.6 KiB
2020-11-02T15:22:42.734397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile29
Q163
median90
Q3114
95-th percentile181
Maximum310
Range308
Interquartile range (IQR)51

Descriptive statistics

Standard deviation45.20640888
Coefficient of variation (CV)0.4814685098
Kurtosis1.960708142
Mean93.8927634
Median Absolute Deviation (MAD)25
Skewness1.047047264
Sum250412
Variance2043.619404
MonotocityNot monotonic
2020-11-02T15:22:42.874267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
97742.5%
 
100561.9%
 
90411.4%
 
107411.4%
 
181411.4%
 
104381.3%
 
85371.2%
 
130371.2%
 
56361.2%
 
87351.2%
 
Other values (206)223173.9%
 
(Missing)35211.7%
 
ValueCountFrequency (%) 
240.1%
 
51< 0.1%
 
630.1%
 
71< 0.1%
 
830.1%
 
ValueCountFrequency (%) 
3101< 0.1%
 
28430.1%
 
27820.1%
 
2681< 0.1%
 
26340.1%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)0.4%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
21
1151 
11
556 
41
258 
12
227 
13
220 
Other values (7)
259 
ValueCountFrequency (%) 
21115138.1%
 
1155618.4%
 
412588.5%
 
122277.5%
 
132207.3%
 
22642.1%
 
23431.4%
 
33391.3%
 
31361.2%
 
32291.0%
 
Other values (2)481.6%
 
(Missing)34811.5%
 
2020-11-02T15:22:43.020247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct983
Distinct (%)44.3%
Missing800
Missing (%)26.5%
Memory size23.6 KiB
80111
 
38
80305
 
33
80016
 
27
80206
 
26
80302
 
24
Other values (978)
2071 
ValueCountFrequency (%) 
80111381.3%
 
80305331.1%
 
80016270.9%
 
80206260.9%
 
80302240.8%
 
80126200.7%
 
80138190.6%
 
80503160.5%
 
80020150.5%
 
80124150.5%
 
Other values (973)198665.8%
 
(Missing)80026.5%
 
2020-11-02T15:22:43.173137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique598 ?
Unique (%)26.9%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct1045
Distinct (%)47.1%
Missing800
Missing (%)26.5%
Memory size23.6 KiB
9300 East Union Avenue
 
38
1515 Greenbriar Boulevard
 
33
1600 City Park Esplanade
 
26
1604 Arapahoe Avenue
 
24
10585 Mountain Vista Ridge
 
20
Other values (1040)
2078 
ValueCountFrequency (%) 
9300 East Union Avenue381.3%
 
1515 Greenbriar Boulevard331.1%
 
1600 City Park Esplanade260.9%
 
1604 Arapahoe Avenue240.8%
 
10585 Mountain Vista Ridge200.7%
 
5810 Mcarthur Ranch Road150.5%
 
329 Campus Drive140.5%
 
25901 Arapahoe Parkway140.5%
 
2201 East Dry Creek Road140.5%
 
1991 Wildcat Reserve Parkway130.4%
 
Other values (1035)200866.5%
 
(Missing)80026.5%
 
2020-11-02T15:22:43.348488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique650 ?
Unique (%)29.3%

HS_TYPE_VALUE
Categorical

MISSING

Distinct8
Distinct (%)0.3%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
Regular School
2161 
Regular Elementary Or Secondary
457 
Special Program Emphasis
 
26
Other/Alternative School
 
11
Alternative/Other
 
7
Other values (3)
 
9
ValueCountFrequency (%) 
Regular School216171.6%
 
Regular Elementary Or Secondary45715.1%
 
Special Program Emphasis260.9%
 
Other/Alternative School110.4%
 
Alternative/Other70.2%
 
Montessori40.1%
 
Vocational School40.1%
 
Special Education1< 0.1%
 
(Missing)34811.5%
 
2020-11-02T15:22:43.489779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
Public
2176 
Private
495 
ValueCountFrequency (%) 
Public217672.1%
 
Private49516.4%
 
(Missing)34811.5%
 
2020-11-02T15:22:43.600708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct1318
Distinct (%)49.3%
Missing348
Missing (%)11.5%
Memory size23.6 KiB
060515
 
38
060118
 
33
060400
 
26
060115
 
24
060747
 
20
Other values (1313)
2530 
ValueCountFrequency (%) 
060515381.3%
 
060118331.1%
 
060400260.9%
 
060115240.8%
 
060747200.7%
 
060748150.5%
 
060086140.5%
 
060928140.5%
 
060435140.5%
 
060130140.5%
 
Other values (1308)245981.5%
 
(Missing)34811.5%
 
2020-11-02T15:22:43.753633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique839 ?
Unique (%)31.4%

Dataset statistics

Number of variables123
Number of observations3657
Missing cells225989
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 MiB
Average record size in memory984.0 B

Variable types

CAT60
BOOL31
UNSUPPORTED18
NUM11
DATE3

Warnings

YEAR has constant value "3657" Constant
1_HIGH_SCHOOL_TYPE has constant value "3657" Constant
PERSON_BIRTHDATE has a high cardinality: 678 distinct values High cardinality
ADDRESS_STREET_COMBINED has a high cardinality: 3639 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 1326 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 402 distinct values High cardinality
ADDRESS_REGION has a high cardinality: 165 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 3587 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 1737 distinct values High cardinality
ADDRESS_COUNTRY has a high cardinality: 52 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 1209 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 1880 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 2181 distinct values High cardinality
1_HIGH_SCHOOL_REGION has a high cardinality: 100 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 1454 distinct values High cardinality
APPLICATION_ORIGINAL_ACADEMIC_INTEREST has a high cardinality: 81 distinct values High cardinality
APPLICATION_SUBMITTED_DATE has a high cardinality: 215 distinct values High cardinality
ADMIT_DECISION_RELEASED_DATE has a high cardinality: 58 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 1776 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 586 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 852 distinct values High cardinality
HS_NCES_ID has a high cardinality: 1482 distinct values High cardinality
HS_NAME has a high cardinality: 1439 distinct values High cardinality
HS_ZIP has a high cardinality: 1103 distinct values High cardinality
HS_ADDRESS has a high cardinality: 1183 distinct values High cardinality
HS_CEEB has a high cardinality: 1483 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 3652 (99.9%) missing values Missing
ETHNICITY has 47 (1.3%) missing values Missing
ADDRESS_COUNTY has 204 (5.6%) missing values Missing
ADDRESS_REGION has 49 (1.3%) missing values Missing
PERSON_HOME_SCHOOL has 3652 (99.9%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 2031 (55.5%) missing values Missing
PERSON_SATI_MAX_TOTAL has 3657 (100.0%) missing values Missing
PERSON_SATR_MAX_COMPS has 1260 (34.5%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 3651 (99.8%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 3206 (87.7%) missing values Missing
PARENT_CU_ATTENDANCE has 3655 (99.9%) missing values Missing
PARENT_CU_EMPLOYMENT has 3649 (99.8%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 3652 (99.9%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 1149 (31.4%) missing values Missing
PERSON_FAFSA_SUBMITTED has 1385 (37.9%) missing values Missing
PERSON_MILITARY_STATUS has 3654 (99.9%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 2419 (66.1%) missing values Missing
PERSON_HS_EQUIVALENCY has 3649 (99.8%) missing values Missing
PERSON_CUMULATIVE_GPA has 3369 (92.1%) missing values Missing
PERSON_HS_GPA_CONVERT has 52 (1.4%) missing values Missing
PERSON_HS_GPA_SR has 984 (26.9%) missing values Missing
1_HIGH_SCHOOL_REGION has 133 (3.6%) missing values Missing
1_HIGH_SCHOOL_HONORS has 3657 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 2562 (70.1%) missing values Missing
ADMIT_DECISION_RECEIVED_DATE has 267 (7.3%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 2903 (79.4%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 3037 (83.0%) missing values Missing
PAST_APP_HISTORY has 3652 (99.9%) missing values Missing
PERSON_ENGAGEMENT has 2510 (68.6%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 2627 (71.8%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 2627 (71.8%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 2903 (79.4%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 3657 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 3657 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 3657 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 3657 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 3657 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 3657 (100.0%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 3657 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 3657 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 3657 (100.0%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 3657 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 3657 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 3657 (100.0%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 3011 (82.3%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 3657 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 3652 (99.9%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 3655 (99.9%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 3509 (96.0%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 455 (12.4%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 3653 (99.9%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 3613 (98.8%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 3499 (95.7%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 2805 (76.7%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 3617 (98.9%) missing values Missing
APPLICATION_HALE_SCHOLAR has 3589 (98.1%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 3645 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 3646 (99.7%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 3657 (100.0%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 3657 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 3528 (96.5%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 3633 (99.3%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 3566 (97.5%) missing values Missing
APPLICATION_EXCEL has 3612 (98.8%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 3655 (99.9%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 3636 (99.4%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 3646 (99.7%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 3656 (> 99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 3652 (99.9%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 3648 (99.8%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 3653 (99.9%) missing values Missing
PERSON_ENGINEARME has 3657 (100.0%) missing values Missing
HS_CITY_LOCATION has 1078 (29.5%) missing values Missing
HS_TOT_ENROLLMENT has 552 (15.1%) missing values Missing
HS_NCES_ID has 552 (15.1%) missing values Missing
HS_NAME has 552 (15.1%) missing values Missing
HS_TYPE has 552 (15.1%) missing values Missing
HS_STATE has 1078 (29.5%) missing values Missing
HS_TEACHERS_FTE has 555 (15.2%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 552 (15.1%) missing values Missing
HS_ZIP has 1078 (29.5%) missing values Missing
HS_ADDRESS has 1078 (29.5%) missing values Missing
HS_TYPE_VALUE has 552 (15.1%) missing values Missing
HS_CLASSIFICATION has 552 (15.1%) missing values Missing
HS_CEEB has 552 (15.1%) missing values Missing
df_index has unique values Unique
APPLICATION_COMMON_APP_ID has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
PERSON_CU_SIS_ID has unique values Unique
PERSON_SATI_MAX_TOTAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_APPLICANT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported
TOTAL_PING_TIME__SEC has 160 (4.4%) zeros Zeros
ON_CAMPUS_ENGAGEMENT_COUNT has 2627 (71.8%) zeros Zeros

Reproduction

Analysis started2020-11-02 22:22:46.401829
Analysis finished2020-11-02 22:22:48.470271
Duration2.07 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct3657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74306.70768
Minimum350
Maximum95110
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:48.548500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum350
5-th percentile38230
Q166790
median76220
Q385580
95-th percentile93182
Maximum95110
Range94760
Interquartile range (IQR)18790

Descriptive statistics

Standard deviation16090.45468
Coefficient of variation (CV)0.2165410793
Kurtosis5.349032709
Mean74306.70768
Median Absolute Deviation (MAD)9400
Skewness-1.889559115
Sum271739630
Variance258902731.9
MonotocityStrictly increasing
2020-11-02T15:22:48.711749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
696301< 0.1%
 
724301< 0.1%
 
888101< 0.1%
 
765201< 0.1%
 
642301< 0.1%
 
929001< 0.1%
 
806101< 0.1%
 
683201< 0.1%
 
847001< 0.1%
 
724101< 0.1%
 
Other values (3647)364799.7%
 
ValueCountFrequency (%) 
3501< 0.1%
 
3601< 0.1%
 
3701< 0.1%
 
3801< 0.1%
 
6101< 0.1%
 
ValueCountFrequency (%) 
951101< 0.1%
 
951001< 0.1%
 
950901< 0.1%
 
950801< 0.1%
 
950701< 0.1%
 

APPLICATION_COMMON_APP_ID
Categorical

UNIQUE

Distinct3657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
24573673-2020
 
1
24278305-2020
 
1
22956657-2020
 
1
22855644-2020
 
1
24256087-2020
 
1
Other values (3652)
3652 
ValueCountFrequency (%) 
24573673-20201< 0.1%
 
24278305-20201< 0.1%
 
22956657-20201< 0.1%
 
22855644-20201< 0.1%
 
24256087-20201< 0.1%
 
24437700-20201< 0.1%
 
23007124-20201< 0.1%
 
24173298-20201< 0.1%
 
23123355-20201< 0.1%
 
25372100-20201< 0.1%
 
Other values (3647)364799.7%
 
2020-11-02T15:22:48.896722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3657 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct3657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
265761784
 
1
811047482
 
1
140422155
 
1
107503124
 
1
725643973
 
1
Other values (3652)
3652 
ValueCountFrequency (%) 
2657617841< 0.1%
 
8110474821< 0.1%
 
1404221551< 0.1%
 
1075031241< 0.1%
 
7256439731< 0.1%
 
8176007631< 0.1%
 
8729493231< 0.1%
 
3863592661< 0.1%
 
5086582491< 0.1%
 
6850568661< 0.1%
 
Other values (3647)364799.7%
 
2020-11-02T15:22:49.067800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3657 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

UNIQUE

Distinct3657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
109902687.0
 
1
109953930.0
 
1
109798818.0
 
1
109770708.0
 
1
109665062.0
 
1
Other values (3652)
3652 
ValueCountFrequency (%) 
109902687.01< 0.1%
 
109953930.01< 0.1%
 
109798818.01< 0.1%
 
109770708.01< 0.1%
 
109665062.01< 0.1%
 
109750575.01< 0.1%
 
109776489.01< 0.1%
 
109895973.01< 0.1%
 
109822497.01< 0.1%
 
109328422.01< 0.1%
 
Other values (3647)364799.7%
 
2020-11-02T15:22:49.238607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3657 ?
Unique (%)100.0%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2020
3657 
ValueCountFrequency (%) 
20203657100.0%
 
2020-11-02T15:22:49.370940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2020 Fall
3619 
2020 Spr
 
20
2020 Sum
 
18
ValueCountFrequency (%) 
2020 Fall361999.0%
 
2020 Spr200.5%
 
2020 Sum180.5%
 
2020-11-02T15:22:49.487478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_APPLIED_TERM
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2020 Fall
3586 
2019 Fall
 
35
2020 Sum
 
20
2020 Spr
 
14
2018 Fall
 
2
ValueCountFrequency (%) 
2020 Fall358698.1%
 
2019 Fall351.0%
 
2020 Sum200.5%
 
2020 Spr140.4%
 
2018 Fall20.1%
 
2020-11-02T15:22:49.617561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RESIDENCY_STATUS
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Non-Resident
2515 
Resident
968 
Non-Resident International
 
174
ValueCountFrequency (%) 
Non-Resident251568.8%
 
Resident96826.5%
 
Non-Resident International1744.8%
 
2020-11-02T15:22:49.735299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
1
 
5
(Missing)
3652 
ValueCountFrequency (%) 
150.1%
 
(Missing)365299.9%
 

PERSON_SEX
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
F
1904 
M
1753 
ValueCountFrequency (%) 
F190452.1%
 
M175347.9%
 
2020-11-02T15:22:49.845587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)0.2%
Missing47
Missing (%)1.3%
Memory size28.6 KiB
White
2543 
Hispanic
478 
Asian
473 
Black or African American
 
53
American Indian or Alaska Native
 
45
ValueCountFrequency (%) 
White254369.5%
 
Hispanic47813.1%
 
Asian47312.9%
 
Black or African American531.4%
 
American Indian or Alaska Native451.2%
 
Native Hawaiian or Other Pacific Islander180.5%
 
(Missing)471.3%
 
2020-11-02T15:22:49.963932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct678
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2001-12-27
 
18
2002-06-06
 
18
2002-04-19
 
18
2002-02-11
 
17
2002-07-19
 
17
Other values (673)
3569 
ValueCountFrequency (%) 
2001-12-27180.5%
 
2002-06-06180.5%
 
2002-04-19180.5%
 
2002-02-11170.5%
 
2002-07-19170.5%
 
2002-01-09160.4%
 
2002-05-23160.4%
 
2002-05-10160.4%
 
2001-10-17160.4%
 
2001-11-27160.4%
 
Other values (668)348995.4%
 
2020-11-02T15:22:50.113703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique181 ?
Unique (%)4.9%

ADDRESS_STREET_COMBINED
Categorical

HIGH CARDINALITY

Distinct3639
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
nan
 
16
920 Venice St
 
2
3 Meadow Brook Rd
 
2
11621 Old Castle Dr
 
2
8870 Callander Cir
 
1
Other values (3634)
3634 
ValueCountFrequency (%) 
nan160.4%
 
920 Venice St20.1%
 
3 Meadow Brook Rd20.1%
 
11621 Old Castle Dr20.1%
 
8870 Callander Cir1< 0.1%
 
935 Presado Way1< 0.1%
 
486 E Clearview Ave1< 0.1%
 
11 Jameson Ln1< 0.1%
 
1431 Fieldwood Ct1< 0.1%
 
12804 Lantana Ridge Ct1< 0.1%
 
Other values (3629)362999.2%
 
2020-11-02T15:22:50.298080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3635 ?
Unique (%)99.4%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct1326
Distinct (%)36.4%
Missing15
Missing (%)0.4%
Memory size28.6 KiB
Denver
 
128
Colorado Spgs
 
63
Aurora
 
59
Austin
 
46
Littleton
 
45
Other values (1321)
3301 
ValueCountFrequency (%) 
Denver1283.5%
 
Colorado Spgs631.7%
 
Aurora591.6%
 
Austin461.3%
 
Littleton451.2%
 
Longmont411.1%
 
Parker401.1%
 
Boulder401.1%
 
San Jose330.9%
 
Hghlnds Ranch320.9%
 
Other values (1316)311585.2%
 
2020-11-02T15:22:50.472545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique817 ?
Unique (%)22.4%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct402
Distinct (%)11.6%
Missing204
Missing (%)5.6%
Memory size28.6 KiB
Los Angeles
 
138
Arapahoe
 
137
Douglas
 
132
Boulder
 
126
Jefferson
 
125
Other values (397)
2795 
ValueCountFrequency (%) 
Los Angeles1383.8%
 
Arapahoe1373.7%
 
Douglas1323.6%
 
Boulder1263.4%
 
Jefferson1253.4%
 
Denver1193.3%
 
Santa Clara1083.0%
 
El Paso982.7%
 
Orange892.4%
 
Cook852.3%
 
Other values (392)229662.8%
 
(Missing)2045.6%
 
2020-11-02T15:22:50.641891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique171 ?
Unique (%)5.0%

ADDRESS_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct165
Distinct (%)4.6%
Missing49
Missing (%)1.3%
Memory size28.6 KiB
CO
982 
CA
701 
TX
221 
IL
181 
NY
 
115
Other values (160)
1408 
ValueCountFrequency (%) 
CO98226.9%
 
CA70119.2%
 
TX2216.0%
 
IL1814.9%
 
NY1153.1%
 
WA992.7%
 
NJ842.3%
 
FL832.3%
 
MA762.1%
 
MD722.0%
 
Other values (155)99427.2%
 
2020-11-02T15:22:50.811971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique97 ?
Unique (%)2.7%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct3587
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
nan
 
54
518000
 
3
610000
 
2
81623-8738
 
2
31311
 
2
Other values (3582)
3594 
ValueCountFrequency (%) 
nan541.5%
 
51800030.1%
 
61000020.1%
 
81623-873820.1%
 
3131120.1%
 
60448-923620.1%
 
81631-20.1%
 
80516-845120.1%
 
06070-170620.1%
 
8162020.1%
 
Other values (3577)358498.0%
 
2020-11-02T15:22:50.984821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3570 ?
Unique (%)97.6%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct1737
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
nan
 
200
80134.0
 
33
80027.0
 
23
80504.0
 
21
80016.0
 
21
Other values (1732)
3359 
ValueCountFrequency (%) 
nan2005.5%
 
80134.0330.9%
 
80027.0230.6%
 
80504.0210.6%
 
80016.0210.6%
 
80108.0200.5%
 
80111.0190.5%
 
80020.0170.5%
 
80503.0170.5%
 
80126.0160.4%
 
Other values (1727)327089.4%
 
2020-11-02T15:22:51.163673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1108 ?
Unique (%)30.3%

ADDRESS_COUNTRY
Categorical

HIGH CARDINALITY

Distinct52
Distinct (%)1.4%
Missing15
Missing (%)0.4%
Memory size28.6 KiB
United States
3457 
China
 
35
India
 
21
Kuwait
 
14
Saudi Arabia
 
14
Other values (47)
 
101
ValueCountFrequency (%) 
United States345794.5%
 
China351.0%
 
India210.6%
 
Kuwait140.4%
 
Saudi Arabia140.4%
 
Mexico90.2%
 
United Arab Emirates80.2%
 
Brazil80.2%
 
South Korea50.1%
 
Japan40.1%
 
Other values (42)671.8%
 
(Missing)150.4%
 
2020-11-02T15:22:51.344800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.7%

PERSON_HOME_SCHOOL
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
1
 
5
(Missing)
3652 
ValueCountFrequency (%) 
150.1%
 
(Missing)365299.9%
 

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct22
Distinct (%)1.4%
Missing2031
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean28.64083641
Minimum11
Maximum36
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:51.477469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q126
median29
Q332
95-th percentile35
Maximum36
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.179381512
Coefficient of variation (CV)0.1459238638
Kurtosis-0.4025732953
Mean28.64083641
Median Absolute Deviation (MAD)3
Skewness-0.4034758121
Sum46570
Variance17.46722982
MonotocityNot monotonic
2020-11-02T15:22:51.824821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
291433.9%
 
301423.9%
 
321293.5%
 
281283.5%
 
331253.4%
 
311243.4%
 
341203.3%
 
261133.1%
 
271123.1%
 
251042.8%
 
Other values (12)38610.6%
 
(Missing)203155.5%
 
ValueCountFrequency (%) 
111< 0.1%
 
1620.1%
 
1740.1%
 
18110.3%
 
19140.4%
 
ValueCountFrequency (%) 
36190.5%
 
35812.2%
 
341203.3%
 
331253.4%
 
321293.5%
 

PERSON_SATI_MAX_TOTAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct82
Distinct (%)3.4%
Missing1260
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean1267.951606
Minimum640
Maximum1600
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:51.955446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum640
5-th percentile1018
Q11170
median1270
Q31380
95-th percentile1510
Maximum1600
Range960
Interquartile range (IQR)210

Descriptive statistics

Standard deviation148.01108
Coefficient of variation (CV)0.1167324362
Kurtosis-0.1256885263
Mean1267.951606
Median Absolute Deviation (MAD)100
Skewness-0.262002146
Sum3039280
Variance21907.27979
MonotocityNot monotonic
2020-11-02T15:22:52.107434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1230742.0%
 
1220732.0%
 
1300701.9%
 
1310691.9%
 
1370631.7%
 
1260631.7%
 
1340601.6%
 
1200581.6%
 
1360571.6%
 
1350571.6%
 
Other values (72)175347.9%
 
(Missing)126034.5%
 
ValueCountFrequency (%) 
6401< 0.1%
 
7501< 0.1%
 
7701< 0.1%
 
7801< 0.1%
 
80020.1%
 
ValueCountFrequency (%) 
16001< 0.1%
 
159040.1%
 
158020.1%
 
1570130.4%
 
1560120.3%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Boolean

MISSING

Distinct2
Distinct (%)33.3%
Missing3651
Missing (%)99.8%
Memory size28.6 KiB
0
 
4
1
 
2
(Missing)
3651 
ValueCountFrequency (%) 
040.1%
 
120.1%
 
(Missing)365199.8%
 

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)0.2%
Missing3206
Missing (%)87.7%
Memory size28.6 KiB
Yes
451 
ValueCountFrequency (%) 
Yes45112.3%
 
(Missing)320687.7%
 
2020-11-02T15:22:52.241202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
nan
3647 
11+
 
10
ValueCountFrequency (%) 
nan364799.7%
 
11+100.3%
 
2020-11-02T15:22:52.349995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct7
Distinct (%)0.2%
Missing7
Missing (%)0.2%
Memory size28.6 KiB
G. Bachelor's Level Degree
1598 
H. Some Graduate School
1277 
C. High School Graduate or Equivalent
273 
D. Some College
204 
E. Technical School
 
156
Other values (2)
 
142
ValueCountFrequency (%) 
G. Bachelor's Level Degree159843.7%
 
H. Some Graduate School127734.9%
 
C. High School Graduate or Equivalent2737.5%
 
D. Some College2045.6%
 
E. Technical School1564.3%
 
B. Less Than High School Graduate1273.5%
 
A. Not Indicated150.4%
 
(Missing)70.2%
 
2020-11-02T15:22:52.476245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_CU_ATTENDANCE
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing3655
Missing (%)99.9%
Memory size28.6 KiB
0
 
2
(Missing)
3655 
ValueCountFrequency (%) 
020.1%
 
(Missing)365599.9%
 

PARENT_CU_EMPLOYMENT
Boolean

MISSING

Distinct2
Distinct (%)25.0%
Missing3649
Missing (%)99.8%
Memory size28.6 KiB
1
 
6
0
 
2
(Missing)
3649 
ValueCountFrequency (%) 
160.2%
 
020.1%
 
(Missing)364999.8%
 

PERSON_ENGLISH_NATIVE_LANGUAGE
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
1
 
5
(Missing)
3652 
ValueCountFrequency (%) 
150.1%
 
(Missing)365299.9%
 

PERSON_NATIVE_LANGUAGE
Categorical

Distinct31
Distinct (%)0.9%
Missing13
Missing (%)0.4%
Memory size28.6 KiB
EN
3376 
SP
 
117
CM
 
36
AR
 
30
RU
 
10
Other values (26)
 
75
ValueCountFrequency (%) 
EN337692.3%
 
SP1173.2%
 
CM361.0%
 
AR300.8%
 
RU100.3%
 
PO90.2%
 
FR90.2%
 
GE70.2%
 
VI60.2%
 
NPL50.1%
 
Other values (21)391.1%
 
(Missing)130.4%
 
2020-11-02T15:22:52.623524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique10 ?
Unique (%)0.3%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)0.3%
Missing1149
Missing (%)31.4%
Memory size28.6 KiB
G. More than $150,000
1411 
F. $100,000 - $149,999
437 
E. $75,000 - $99,999
188 
C. $35,000 - $59,999
171 
D. $60,000 - $74,999
 
128
Other values (2)
173 
ValueCountFrequency (%) 
G. More than $150,000141138.6%
 
F. $100,000 - $149,99943711.9%
 
E. $75,000 - $99,9991885.1%
 
C. $35,000 - $59,9991714.7%
 
D. $60,000 - $74,9991283.5%
 
B. $15,000 - $34,9991133.1%
 
A. $0 - $15,000601.6%
 
(Missing)114931.4%
 
2020-11-02T15:22:52.758830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)< 0.1%
Missing1385
Missing (%)37.9%
Memory size28.6 KiB
1
2272 
(Missing)
1385 
ValueCountFrequency (%) 
1227262.1%
 
(Missing)138537.9%
 

PERSON_MILITARY_STATUS
Categorical

MISSING

Distinct2
Distinct (%)66.7%
Missing3654
Missing (%)99.9%
Memory size28.6 KiB
On Active Duty U.S. Military
2 
Previously Served
1 
ValueCountFrequency (%) 
On Active Duty U.S. Military20.1%
 
Previously Served1< 0.1%
 
(Missing)365499.9%
 
2020-11-02T15:22:52.873443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)33.3%

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf≥0)

MISSING

Distinct85
Distinct (%)6.9%
Missing2419
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean76.48546042
Minimum0
Maximum100
Zeros1
Zeros (%)< 0.1%
Memory size28.6 KiB
2020-11-02T15:22:52.996345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q166
median81
Q392
95-th percentile99
Maximum100
Range100
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.38261391
Coefficient of variation (CV)0.2534156663
Kurtosis0.3747266661
Mean76.48546042
Median Absolute Deviation (MAD)13
Skewness-0.9639977209
Sum94689
Variance375.6857221
MonotocityNot monotonic
2020-11-02T15:22:53.144130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
99451.2%
 
98451.2%
 
97441.2%
 
95401.1%
 
100371.0%
 
94351.0%
 
96330.9%
 
84320.9%
 
86310.8%
 
90300.8%
 
Other values (75)86623.7%
 
(Missing)241966.1%
 
ValueCountFrequency (%) 
01< 0.1%
 
121< 0.1%
 
131< 0.1%
 
141< 0.1%
 
1720.1%
 
ValueCountFrequency (%) 
100371.0%
 
99451.2%
 
98451.2%
 
97441.2%
 
96330.9%
 

PERSON_HS_EQUIVALENCY
Boolean

MISSING

Distinct1
Distinct (%)12.5%
Missing3649
Missing (%)99.8%
Memory size28.6 KiB
1
 
8
(Missing)
3649 
ValueCountFrequency (%) 
180.2%
 
(Missing)364999.8%
 

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct104
Distinct (%)36.1%
Missing3369
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean3.528017361
Minimum1
Maximum4.067
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:53.291280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.31155
Q13.129
median3.7435
Q34
95-th percentile4
Maximum4.067
Range3.067
Interquartile range (IQR)0.871

Descriptive statistics

Standard deviation0.5802424247
Coefficient of variation (CV)0.1644669981
Kurtosis1.892629234
Mean3.528017361
Median Absolute Deviation (MAD)0.2565
Skewness-1.43969661
Sum1016.069
Variance0.3366812715
MonotocityNot monotonic
2020-11-02T15:22:53.431933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41032.8%
 
3310.8%
 
3.790.2%
 
3.370.2%
 
270.2%
 
3.560.2%
 
3.8560.2%
 
3.7540.1%
 
2.730.1%
 
2.530.1%
 
Other values (94)1093.0%
 
(Missing)336992.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
1.5941< 0.1%
 
1.720.1%
 
1.8141< 0.1%
 
1.9531< 0.1%
 
ValueCountFrequency (%) 
4.0671< 0.1%
 
41032.8%
 
3.991< 0.1%
 
3.9871< 0.1%
 
3.9811< 0.1%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

MISSING

Distinct813
Distinct (%)22.6%
Missing52
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.719866574
Minimum1.97
Maximum4
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:53.585025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.97
5-th percentile3.0902
Q13.515
median3.833
Q34
95-th percentile4
Maximum4
Range2.03
Interquartile range (IQR)0.485

Descriptive statistics

Standard deviation0.3195853215
Coefficient of variation (CV)0.08591311411
Kurtosis0.8345226029
Mean3.719866574
Median Absolute Deviation (MAD)0.167
Skewness-1.128275321
Sum13410.119
Variance0.1021347777
MonotocityNot monotonic
2020-11-02T15:22:53.737177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4124534.0%
 
3.7320.9%
 
3.5250.7%
 
3.6210.6%
 
3.94210.6%
 
3.67200.5%
 
3.75200.5%
 
3.68170.5%
 
3.95160.4%
 
3.33160.4%
 
Other values (803)217259.4%
 
(Missing)521.4%
 
ValueCountFrequency (%) 
1.971< 0.1%
 
2.061< 0.1%
 
2.231< 0.1%
 
2.411< 0.1%
 
2.4381< 0.1%
 
ValueCountFrequency (%) 
4124534.0%
 
3.9981< 0.1%
 
3.99720.1%
 
3.9961< 0.1%
 
3.9931< 0.1%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct1209
Distinct (%)45.2%
Missing984
Missing (%)26.9%
Memory size28.6 KiB
4.00
 
35
3.70
 
32
3.95
 
25
3.30
 
22
3.97
 
21
Other values (1204)
2538 
ValueCountFrequency (%) 
4.00351.0%
 
3.70320.9%
 
3.95250.7%
 
3.30220.6%
 
3.97210.6%
 
3.85200.5%
 
3.81200.5%
 
3.94200.5%
 
3.93200.5%
 
3.71200.5%
 
Other values (1199)243866.7%
 
(Missing)98426.9%
 
2020-11-02T15:22:53.916425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique866 ?
Unique (%)32.4%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct1880
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
060515
 
31
060118
 
27
060400
 
26
060928
 
24
060748
 
24
Other values (1875)
3525 
ValueCountFrequency (%) 
060515310.8%
 
060118270.7%
 
060400260.7%
 
060928240.7%
 
060748240.7%
 
060115180.5%
 
051855170.5%
 
060163170.5%
 
060749160.4%
 
051895160.4%
 
Other values (1870)344194.1%
 
2020-11-02T15:22:54.087063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1246 ?
Unique (%)34.1%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct2181
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Fairview High School
 
21
Rock Canyon High School
 
19
Cherry Creek High School
 
19
East High School
 
18
Skyline High School
 
16
Other values (2176)
3564 
ValueCountFrequency (%) 
Fairview High School210.6%
 
Rock Canyon High School190.5%
 
Cherry Creek High School190.5%
 
East High School180.5%
 
Skyline High School160.4%
 
Valor Christian High School150.4%
 
Chaparral High School140.4%
 
Arapahoe High School140.4%
 
Los Gatos High School120.3%
 
Niwot High School120.3%
 
Other values (2171)349795.6%
 
2020-11-02T15:22:54.266359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1566 ?
Unique (%)42.8%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Minimum1993-12-01 00:00:00
Maximum2024-04-01 00:00:00
2020-11-02T15:22:54.417585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:54.545406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

1_HIGH_SCHOOL_REGION
Categorical

HIGH CARDINALITY
MISSING

Distinct100
Distinct (%)2.8%
Missing133
Missing (%)3.6%
Memory size28.6 KiB
CO
978 
CA
700 
TX
216 
IL
182 
NY
 
110
Other values (95)
1338 
ValueCountFrequency (%) 
CO97826.7%
 
CA70019.1%
 
TX2165.9%
 
IL1825.0%
 
NY1103.0%
 
WA982.7%
 
MA822.2%
 
NJ822.2%
 
FL802.2%
 
MD711.9%
 
Other values (90)92525.3%
 
(Missing)1333.6%
 
2020-11-02T15:22:54.696806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique41 ?
Unique (%)1.2%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct1454
Distinct (%)39.8%
Missing6
Missing (%)0.2%
Memory size28.6 KiB
Denver
 
101
Aurora
 
48
Littleton
 
45
Colorado Springs
 
43
Highlands Ranch
 
40
Other values (1449)
3374 
ValueCountFrequency (%) 
Denver1012.8%
 
Aurora481.3%
 
Littleton451.2%
 
Colorado Springs431.2%
 
Highlands Ranch401.1%
 
DENVER401.1%
 
Broomfield330.9%
 
Boulder320.9%
 
AURORA310.8%
 
Austin290.8%
 
Other values (1444)320987.7%
 
2020-11-02T15:22:54.864914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique928 ?
Unique (%)25.4%

1_HIGH_SCHOOL_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
High School
3657 
ValueCountFrequency (%) 
High School3657100.0%
 
2020-11-02T15:22:54.995911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing2562
Missing (%)70.1%
Memory size28.6 KiB
Other college listed
1081 
Yes
 
14
ValueCountFrequency (%) 
Other college listed108129.6%
 
Yes140.4%
 
(Missing)256270.1%
 
2020-11-02T15:22:55.101512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
No
2922 
Yes
735 
ValueCountFrequency (%) 
No292279.9%
 
Yes73520.1%
 

ADMITTED_COLLEGE
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
ARSCU
1574 
MULTU
828 
ENGRU
658 
BUSNU
296 
CMCIU
179 
Other values (3)
 
122
ValueCountFrequency (%) 
ARSCU157443.0%
 
MULTU82822.6%
 
ENGRU65818.0%
 
BUSNU2968.1%
 
CMCIU1794.9%
 
ARPLU631.7%
 
EDUCU371.0%
 
MUSCU220.6%
 
2020-11-02T15:22:55.223764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
College of Arts & Sciences
1600 
College of Engineering & Applied Science
883 
Leeds School of Business
670 
College of Media, Communication & Information
222 
Program in Exploratory Studies
 
122
Other values (3)
 
160
ValueCountFrequency (%) 
College of Arts & Sciences160043.8%
 
College of Engineering & Applied Science88324.1%
 
Leeds School of Business67018.3%
 
College of Media, Communication & Information2226.1%
 
Program in Exploratory Studies1223.3%
 
Program in Environmental Design732.0%
 
School of Education441.2%
 
College of Music431.2%
 
2020-11-02T15:22:55.358076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

HIGH CARDINALITY

Distinct81
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Business - Open Option (Undecided)
346 
Psychology
282 
Arts and Sciences - Open Option (Undecided)
 
199
Aerospace Engineering Sciences
 
176
Mechanical Engineering
 
141
Other values (76)
2513 
ValueCountFrequency (%) 
Business - Open Option (Undecided)3469.5%
 
Psychology2827.7%
 
Arts and Sciences - Open Option (Undecided)1995.4%
 
Aerospace Engineering Sciences1764.8%
 
Mechanical Engineering1413.9%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology1343.7%
 
Computer Science (Engineering, BS)1243.4%
 
Exploratory Studies/University-wide Open Option (Undecided)1223.3%
 
Biological Sciences-Integrative Physiology1213.3%
 
Engineering - Open Option (Undecided)1062.9%
 
Other values (71)190652.1%
 
2020-11-02T15:22:55.514859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)0.2%

APPLICATION_SUBMITTED_DATE
Categorical

HIGH CARDINALITY

Distinct215
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2019-10-15 12:00 AM
478 
2019-11-15 12:00 AM
427 
2019-11-14 12:00 AM
256 
2020-01-15 12:00 AM
229 
2019-11-13 12:00 AM
 
122
Other values (210)
2145 
ValueCountFrequency (%) 
2019-10-15 12:00 AM47813.1%
 
2019-11-15 12:00 AM42711.7%
 
2019-11-14 12:00 AM2567.0%
 
2020-01-15 12:00 AM2296.3%
 
2019-11-13 12:00 AM1223.3%
 
2020-01-14 12:00 AM1052.9%
 
2019-10-16 12:00 AM922.5%
 
2020-01-16 12:00 AM822.2%
 
2019-11-12 12:00 AM772.1%
 
2019-11-11 12:00 AM742.0%
 
Other values (205)171546.9%
 
2020-11-02T15:22:55.899650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique70 ?
Unique (%)1.9%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Admit First Choice Program
2776 
Admit Exploratory Studies
615 
Admit Pre Business
 
156
Admit Pre Engineering
 
34
Admit Exploratory Studies with Excel Invite
 
25
Other values (4)
 
51
ValueCountFrequency (%) 
Admit First Choice Program277675.9%
 
Admit Exploratory Studies61516.8%
 
Admit Pre Business1564.3%
 
Admit Pre Engineering340.9%
 
Admit Exploratory Studies with Excel Invite250.7%
 
Admit McNeill210.6%
 
Admit Exploratory Studies with GoldShirt Invite190.5%
 
Admit McNeill to Exploratory Studies100.3%
 
Admit Arts and Science AMO1< 0.1%
 
2020-11-02T15:22:56.043621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

ADMIT_DECISION_RELEASED_DATE
Categorical

HIGH CARDINALITY

Distinct58
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
2020-01-10 06:00 PM
2124 
2020-03-06 06:38 PM
351 
2020-03-06 06:33 PM
256 
2020-03-20 06:52 PM
232 
2020-03-26 06:46 PM
 
194
Other values (53)
500 
ValueCountFrequency (%) 
2020-01-10 06:00 PM212458.1%
 
2020-03-06 06:38 PM3519.6%
 
2020-03-06 06:33 PM2567.0%
 
2020-03-20 06:52 PM2326.3%
 
2020-03-26 06:46 PM1945.3%
 
2020-02-24 02:19 PM1363.7%
 
2020-01-10 06:12 PM862.4%
 
2020-04-10 06:58 PM421.1%
 
2020-03-06 06:05 PM381.0%
 
2020-05-21 12:34 PM320.9%
 
Other values (48)1664.5%
 
2020-11-02T15:22:56.181550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.6%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct1776
Distinct (%)52.4%
Missing267
Missing (%)7.3%
Memory size28.6 KiB
2020-01-10 06:46 PM
 
45
2020-01-10 06:50 PM
 
42
2020-01-10 06:51 PM
 
41
2020-01-10 06:48 PM
 
40
2020-01-10 06:52 PM
 
36
Other values (1771)
3186 
ValueCountFrequency (%) 
2020-01-10 06:46 PM451.2%
 
2020-01-10 06:50 PM421.1%
 
2020-01-10 06:51 PM411.1%
 
2020-01-10 06:48 PM401.1%
 
2020-01-10 06:52 PM361.0%
 
2020-01-10 06:47 PM300.8%
 
2020-01-10 06:44 PM290.8%
 
2020-01-10 06:45 PM280.8%
 
2020-01-10 06:53 PM270.7%
 
2020-03-06 06:58 PM270.7%
 
Other values (1766)304583.3%
 
(Missing)2677.3%
 
2020-11-02T15:22:56.341513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1369 ?
Unique (%)40.4%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct586
Distinct (%)77.7%
Missing2903
Missing (%)79.4%
Memory size28.6 KiB
2020-04-20 09:35 AM
 
24
2020-04-02 02:27 PM
 
11
2020-05-04 07:40 PM
 
11
2020-04-30 06:12 PM
 
10
2020-04-08 11:24 AM
 
8
Other values (581)
690 
ValueCountFrequency (%) 
2020-04-20 09:35 AM240.7%
 
2020-04-02 02:27 PM110.3%
 
2020-05-04 07:40 PM110.3%
 
2020-04-30 06:12 PM100.3%
 
2020-04-08 11:24 AM80.2%
 
2020-05-01 05:39 PM70.2%
 
2020-04-24 06:05 PM70.2%
 
2020-04-14 07:23 PM60.2%
 
2020-04-28 06:58 PM60.2%
 
2020-04-29 06:45 PM60.2%
 
Other values (576)65818.0%
 
(Missing)290379.4%
 
2020-11-02T15:22:56.503324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique527 ?
Unique (%)69.9%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)0.2%
Missing3037
Missing (%)83.0%
Memory size28.6 KiB
1
620 
(Missing)
3037 
ValueCountFrequency (%) 
162017.0%
 
(Missing)303783.0%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Admit
1863 
Withdraw
1075 
Deposit Paid
665 
Deposit Pending
 
22
Defer (Deposit Paid)
 
18
Other values (2)
 
14
ValueCountFrequency (%) 
Admit186350.9%
 
Withdraw107529.4%
 
Deposit Paid66518.2%
 
Deposit Pending220.6%
 
Defer (Deposit Paid)180.5%
 
Defer Admit120.3%
 
Defer (Deposit Pending)20.1%
 
2020-11-02T15:22:56.647459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PAST_APP_HISTORY
Categorical

MISSING

Distinct4
Distinct (%)80.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)
2 
2019 Fall FR (2019-01-12 Deposit Paid: --)
1 
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)
1 
2019 Fall FR (2019-05-23 Administrative Withdraw: Late Application)
1 
ValueCountFrequency (%) 
2019 Fall FR (2019-01-11 Admit: Admit Exploratory Studies)20.1%
 
2019 Fall FR (2019-01-12 Deposit Paid: --)1< 0.1%
 
2019 Fall FR (2019-01-11 Admit: Admit First Choice Program)1< 0.1%
 
2019 Fall FR (2019-05-23 Administrative Withdraw: Late Application)1< 0.1%
 
(Missing)365299.9%
 
2020-11-02T15:22:56.770504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)60.0%

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct6
Distinct (%)0.5%
Missing2510
Missing (%)68.6%
Memory size28.6 KiB
Black
564 
Red
458 
Green
87 
Blue
 
23
Purple
 
14
ValueCountFrequency (%) 
Black56415.4%
 
Red45812.5%
 
Green872.4%
 
Blue230.6%
 
Purple140.4%
 
Yellow1< 0.1%
 
(Missing)251068.6%
 
2020-11-02T15:22:56.888094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

ZEROS

Distinct583
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.2059065
Minimum0
Maximum4521
Zeros160
Zeros (%)4.4%
Memory size28.6 KiB
2020-11-02T15:22:57.016838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121
median52
Q3137
95-th percentile523.2
Maximum4521
Range4521
Interquartile range (IQR)116

Descriptive statistics

Standard deviation219.0836595
Coefficient of variation (CV)1.695616443
Kurtosis67.47782762
Mean129.2059065
Median Absolute Deviation (MAD)39
Skewness5.719756959
Sum472506
Variance47997.64988
MonotocityNot monotonic
2020-11-02T15:22:57.154397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01604.4%
 
15481.3%
 
14481.3%
 
21471.3%
 
19471.3%
 
11471.3%
 
16461.3%
 
8441.2%
 
9441.2%
 
6431.2%
 
Other values (573)308384.3%
 
ValueCountFrequency (%) 
01604.4%
 
120.1%
 
2140.4%
 
3340.9%
 
4371.0%
 
ValueCountFrequency (%) 
45211< 0.1%
 
29511< 0.1%
 
27171< 0.1%
 
22971< 0.1%
 
21831< 0.1%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct66
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.08449549
Minimum0
Maximum75
Zeros12
Zeros (%)0.3%
Memory size28.6 KiB
2020-11-02T15:22:57.295965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median21
Q329
95-th percentile41
Maximum75
Range75
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.80525455
Coefficient of variation (CV)0.4892687976
Kurtosis0.2526849306
Mean22.08449549
Median Absolute Deviation (MAD)7
Skewness0.5098285597
Sum80763
Variance116.753526
MonotocityNot monotonic
2020-11-02T15:22:57.437814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
161534.2%
 
221353.7%
 
231283.5%
 
171283.5%
 
201273.5%
 
181243.4%
 
141233.4%
 
191203.3%
 
251193.3%
 
241163.2%
 
Other values (56)238465.2%
 
ValueCountFrequency (%) 
0120.3%
 
1150.4%
 
2210.6%
 
3230.6%
 
4361.0%
 
ValueCountFrequency (%) 
751< 0.1%
 
671< 0.1%
 
631< 0.1%
 
6220.1%
 
6120.1%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
0
3588 
1
 
66
2
 
2
3
 
1
ValueCountFrequency (%) 
0358898.1%
 
1661.8%
 
220.1%
 
31< 0.1%
 
2020-11-02T15:22:57.582753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

ON_CAMPUS_ENGAGEMENT_COUNT
Real number (&Ropf≥0)

ZEROS

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3089964452
Minimum0
Maximum5
Zeros2627
Zeros (%)71.8%
Memory size28.6 KiB
2020-11-02T15:22:57.681541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5278963083
Coefficient of variation (CV)1.708421946
Kurtosis4.346506262
Mean0.3089964452
Median Absolute Deviation (MAD)0
Skewness1.751781581
Sum1130
Variance0.2786745123
MonotocityNot monotonic
2020-11-02T15:22:57.778989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0262771.8%
 
194425.8%
 
2762.1%
 
370.2%
 
420.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
0262771.8%
 
194425.8%
 
2762.1%
 
370.2%
 
420.1%
 
ValueCountFrequency (%) 
51< 0.1%
 
420.1%
 
370.2%
 
2762.1%
 
194425.8%
 

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct35
Distinct (%)3.4%
Missing2627
Missing (%)71.8%
Memory size28.6 KiB
Information Session & Campus Tour
775 
Explore CU Boulder
 
53
Information Session & Campus Tours
 
27
Ralphie's Group Visit
 
23
Talented Scholars Day
 
20
Other values (30)
132 
ValueCountFrequency (%) 
Information Session & Campus Tour77521.2%
 
Explore CU Boulder531.4%
 
Information Session & Campus Tours270.7%
 
Ralphie's Group Visit230.6%
 
Talented Scholars Day200.5%
 
Discover CU Boulder140.4%
 
Engineering Center Guided Tour110.3%
 
Ralphie's Visit110.3%
 
Diversity and Inclusion Visit Experience (D.I.V.E.)110.3%
 
Engineer Your Future: Engineering Sampler100.3%
 
Other values (25)752.1%
 
(Missing)262771.8%
 
2020-11-02T15:22:57.914857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique12 ?
Unique (%)1.2%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct486
Distinct (%)47.2%
Missing2627
Missing (%)71.8%
Memory size28.6 KiB
Minimum2017-06-13 09:30:00
Maximum2020-03-12 13:30:00
2020-11-02T15:22:58.063058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:58.201573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
0
3262 
1
357 
2
 
36
3
 
2
ValueCountFrequency (%) 
0326289.2%
 
13579.8%
 
2361.0%
 
320.1%
 
2020-11-02T15:22:58.335763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
No
2992 
Yes
665 
ValueCountFrequency (%) 
No299281.8%
 
Yes66518.2%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct586
Distinct (%)77.7%
Missing2903
Missing (%)79.4%
Memory size28.6 KiB
Minimum2018-02-01 19:35:25
Maximum2020-08-18 15:47:34
2020-11-02T15:22:58.463302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:22:58.618387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
R - Admit
2582 
U - Withdraw
1075 
ValueCountFrequency (%) 
R - Admit258270.6%
 
U - Withdraw107529.4%
 
2020-11-02T15:22:58.777239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct9
Distinct (%)1.4%
Missing3011
Missing (%)82.3%
Memory size28.6 KiB
Colorado Free Application Day (Colorado residents only)
548 
Other pre-approved application fee waiver (must have valid code)
 
25
Pre-Collegiate Program participant (CO residents, by invitation only)
 
18
CU Boulder Legacy applicant (invitation only)
 
16
Active Duty or Veteran military personnel
 
13
Other values (4)
 
26
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)54815.0%
 
Other pre-approved application fee waiver (must have valid code)250.7%
 
Pre-Collegiate Program participant (CO residents, by invitation only)180.5%
 
CU Boulder Legacy applicant (invitation only)160.4%
 
Active Duty or Veteran military personnel130.4%
 
CU Boulder application workshop participant120.3%
 
Outstanding Colorado Student (by invitation only)80.2%
 
EngiNearMe Program participant (by invitation only)50.1%
 
Boettcher Scholar semi-finalist (CO residents, by invitiation only)1< 0.1%
 
(Missing)301182.3%
 
2020-11-02T15:22:58.902522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.2%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
1
 
5
(Missing)
3652 
ValueCountFrequency (%) 
150.1%
 
(Missing)365299.9%
 

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Boolean

MISSING

Distinct2
Distinct (%)100.0%
Missing3655
Missing (%)99.9%
Memory size28.6 KiB
0
 
1
1
 
1
(Missing)
3655 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
(Missing)365599.9%
 

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct3
Distinct (%)2.0%
Missing3509
Missing (%)96.0%
Memory size28.6 KiB
0
128 
<1
16 
>20
 
4
ValueCountFrequency (%) 
01283.5%
 
<1160.4%
 
>2040.1%
 
(Missing)350996.0%
 
2020-11-02T15:22:59.024863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing455
Missing (%)12.4%
Memory size28.6 KiB
0
3071 
<1
 
131
ValueCountFrequency (%) 
0307184.0%
 
<11313.6%
 
(Missing)45512.4%
 
2020-11-02T15:22:59.141257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing3653
Missing (%)99.9%
Memory size28.6 KiB
1
 
4
(Missing)
3653 
ValueCountFrequency (%) 
140.1%
 
(Missing)365399.9%
 

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.3%
Missing3613
Missing (%)98.8%
Memory size28.6 KiB
1
 
44
(Missing)
3613 
ValueCountFrequency (%) 
1441.2%
 
(Missing)361398.8%
 

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.6%
Missing3499
Missing (%)95.7%
Memory size28.6 KiB
1
 
158
(Missing)
3499 
ValueCountFrequency (%) 
11584.3%
 
(Missing)349995.7%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.1%
Missing2805
Missing (%)76.7%
Memory size28.6 KiB
1
852 
(Missing)
2805 
ValueCountFrequency (%) 
185223.3%
 
(Missing)280576.7%
 

APPLICATION_DEAN_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)2.5%
Missing3617
Missing (%)98.9%
Memory size28.6 KiB
1
 
40
(Missing)
3617 
ValueCountFrequency (%) 
1401.1%
 
(Missing)361798.9%
 

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.5%
Missing3589
Missing (%)98.1%
Memory size28.6 KiB
1
 
68
(Missing)
3589 
ValueCountFrequency (%) 
1681.9%
 
(Missing)358998.1%
 

APPLICATION_IMPACT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)8.3%
Missing3645
Missing (%)99.7%
Memory size28.6 KiB
1
 
12
(Missing)
3645 
ValueCountFrequency (%) 
1120.3%
 
(Missing)364599.7%
 

APPLICATION_LEEDS_SCHOLAR_ADMIT
Boolean

MISSING

Distinct1
Distinct (%)9.1%
Missing3646
Missing (%)99.7%
Memory size28.6 KiB
1
 
11
(Missing)
3646 
ValueCountFrequency (%) 
1110.3%
 
(Missing)364699.7%
 

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)0.8%
Missing3528
Missing (%)96.5%
Memory size28.6 KiB
1
 
129
(Missing)
3528 
ValueCountFrequency (%) 
11293.5%
 
(Missing)352896.5%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)4.2%
Missing3633
Missing (%)99.3%
Memory size28.6 KiB
1
 
24
(Missing)
3633 
ValueCountFrequency (%) 
1240.7%
 
(Missing)363399.3%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)1.1%
Missing3566
Missing (%)97.5%
Memory size28.6 KiB
1
 
91
(Missing)
3566 
ValueCountFrequency (%) 
1912.5%
 
(Missing)356697.5%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct3
Distinct (%)6.7%
Missing3612
Missing (%)98.8%
Memory size28.6 KiB
Excel interview invite
19 
Excel referral
19 
Excel admit
7 
ValueCountFrequency (%) 
Excel interview invite190.5%
 
Excel referral190.5%
 
Excel admit70.2%
 
(Missing)361298.8%
 
2020-11-02T15:22:59.260568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_TUITION_CLASSIFICATION
Boolean

MISSING

Distinct1
Distinct (%)50.0%
Missing3655
Missing (%)99.9%
Memory size28.6 KiB
1
 
2
(Missing)
3655 
ValueCountFrequency (%) 
120.1%
 
(Missing)365599.9%
 

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)4.8%
Missing3636
Missing (%)99.4%
Memory size28.6 KiB
1
 
21
(Missing)
3636 
ValueCountFrequency (%) 
1210.6%
 
(Missing)363699.4%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)9.1%
Missing3646
Missing (%)99.7%
Memory size28.6 KiB
1
 
11
(Missing)
3646 
ValueCountFrequency (%) 
1110.3%
 
(Missing)364699.7%
 

PERSON_PRE_COLLEGIATE_RURAL
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing3656
Missing (%)> 99.9%
Memory size28.6 KiB
1
 
1
(Missing)
3656 
ValueCountFrequency (%) 
11< 0.1%
 
(Missing)3656> 99.9%
 

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Boolean

MISSING

Distinct1
Distinct (%)20.0%
Missing3652
Missing (%)99.9%
Memory size28.6 KiB
1
 
5
(Missing)
3652 
ValueCountFrequency (%) 
150.1%
 
(Missing)365299.9%
 

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)11.1%
Missing3648
Missing (%)99.8%
Memory size28.6 KiB
1
 
9
(Missing)
3648 
ValueCountFrequency (%) 
190.2%
 
(Missing)364899.8%
 

PERSON_DANIEL_S_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing3653
Missing (%)99.9%
Memory size28.6 KiB
1
 
4
(Missing)
3653 
ValueCountFrequency (%) 
140.1%
 
(Missing)365399.9%
 

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3657
Missing (%)100.0%
Memory size28.7 KiB

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct852
Distinct (%)33.0%
Missing1078
Missing (%)29.5%
Memory size28.6 KiB
Denver
 
92
Colorado Springs
 
68
Highlands Ranch
 
60
Aurora
 
54
Boulder
 
45
Other values (847)
2260 
ValueCountFrequency (%) 
Denver922.5%
 
Colorado Springs681.9%
 
Highlands Ranch601.6%
 
Aurora541.5%
 
Boulder451.2%
 
Littleton391.1%
 
Austin371.0%
 
Fort Collins351.0%
 
Broomfield320.9%
 
Greenwood Village310.8%
 
Other values (842)208657.0%
 
(Missing)107829.5%
 
2020-11-02T15:22:59.407434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique480 ?
Unique (%)18.6%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct1178
Distinct (%)37.9%
Missing552
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1677.820612
Minimum12
Maximum5934
Zeros0
Zeros (%)0.0%
Memory size28.6 KiB
2020-11-02T15:22:59.550772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile400
Q11074
median1647
Q32185
95-th percentile3159.6
Maximum5934
Range5922
Interquartile range (IQR)1111

Descriptive statistics

Standard deviation843.611541
Coefficient of variation (CV)0.5028019891
Kurtosis0.8397657699
Mean1677.820612
Median Absolute Deviation (MAD)562
Skewness0.59588329
Sum5209633
Variance711680.432
MonotocityNot monotonic
2020-11-02T15:22:59.901386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2179351.0%
 
3720310.8%
 
2266280.8%
 
2603260.7%
 
2250240.7%
 
1684230.6%
 
2103200.5%
 
2138170.5%
 
1178170.5%
 
2406170.5%
 
Other values (1168)286778.4%
 
(Missing)55215.1%
 
ValueCountFrequency (%) 
121< 0.1%
 
501< 0.1%
 
571< 0.1%
 
941< 0.1%
 
951< 0.1%
 
ValueCountFrequency (%) 
593440.1%
 
52861< 0.1%
 
509820.1%
 
45321< 0.1%
 
451760.2%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct1482
Distinct (%)47.7%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
080291000186
 
31
080249000114
 
27
080336000338
 
26
080345001961
 
24
080531000873
 
24
Other values (1477)
2973 
ValueCountFrequency (%) 
080291000186310.8%
 
080249000114270.7%
 
080336000338260.7%
 
080345001961240.7%
 
080531000873240.7%
 
A9101574210.6%
 
080249000101180.5%
 
062280003486170.5%
 
080690001784170.5%
 
A0900680160.4%
 
Other values (1472)288478.9%
 
(Missing)55215.1%
 
2020-11-02T15:23:00.073286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique931 ?
Unique (%)30.0%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct1439
Distinct (%)46.3%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
Cherry Creek High School
 
31
East High School
 
28
Fairview High School
 
27
Rock Canyon High School
 
24
Arapahoe High School
 
24
Other values (1434)
2971 
ValueCountFrequency (%) 
Cherry Creek High School310.8%
 
East High School280.8%
 
Fairview High School270.7%
 
Rock Canyon High School240.7%
 
Arapahoe High School240.7%
 
Regis Jesuit High School210.6%
 
Skyline High School210.6%
 
Boulder High School180.5%
 
Legacy High School170.5%
 
Los Gatos High170.5%
 
Other values (1429)287778.7%
 
(Missing)55215.1%
 
2020-11-02T15:23:00.237188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique891 ?
Unique (%)28.7%

HS_TYPE
Categorical

MISSING

Distinct4
Distinct (%)0.1%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
1
3050 
3
 
32
4
 
13
6
 
10
ValueCountFrequency (%) 
1305083.4%
 
3320.9%
 
4130.4%
 
6100.3%
 
(Missing)55215.1%
 
2020-11-02T15:23:00.374501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

MISSING

Distinct50
Distinct (%)1.9%
Missing1078
Missing (%)29.5%
Memory size28.6 KiB
CO
806 
CA
482 
IL
159 
TX
153 
WA
 
78
Other values (45)
901 
ValueCountFrequency (%) 
CO80622.0%
 
CA48213.2%
 
IL1594.3%
 
TX1534.2%
 
WA782.1%
 
NY732.0%
 
NJ681.9%
 
MA601.6%
 
MD561.5%
 
PA531.4%
 
Other values (40)59116.2%
 
(Missing)107829.5%
 
2020-11-02T15:23:00.521404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)0.2%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct225
Distinct (%)7.3%
Missing555
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean95.33687943
Minimum0
Maximum362
Zeros2
Zeros (%)0.1%
Memory size28.6 KiB
2020-11-02T15:23:00.674824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q166
median91
Q3115
95-th percentile181
Maximum362
Range362
Interquartile range (IQR)49

Descriptive statistics

Standard deviation46.16539591
Coefficient of variation (CV)0.4842343927
Kurtosis2.503096292
Mean95.33687943
Median Absolute Deviation (MAD)24
Skewness1.071540103
Sum295735
Variance2131.24378
MonotocityNot monotonic
2020-11-02T15:23:00.816778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
107641.8%
 
100621.7%
 
97591.6%
 
75511.4%
 
104491.3%
 
103481.3%
 
90471.3%
 
93471.3%
 
74471.3%
 
77411.1%
 
Other values (215)258770.7%
 
(Missing)55515.2%
 
ValueCountFrequency (%) 
020.1%
 
120.1%
 
280.2%
 
41< 0.1%
 
620.1%
 
ValueCountFrequency (%) 
36220.1%
 
32720.1%
 
3101< 0.1%
 
2841< 0.1%
 
27840.1%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)0.4%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
21
1393 
11
650 
12
260 
13
252 
41
248 
Other values (7)
302 
ValueCountFrequency (%) 
21139338.1%
 
1165017.8%
 
122607.1%
 
132526.9%
 
412486.8%
 
22661.8%
 
33531.4%
 
23451.2%
 
42431.2%
 
31411.1%
 
Other values (2)541.5%
 
(Missing)55215.1%
 
2020-11-02T15:23:00.968307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct1103
Distinct (%)42.8%
Missing1078
Missing (%)29.5%
Memory size28.6 KiB
80020
 
32
80111
 
31
80305
 
27
80206
 
26
80016
 
26
Other values (1098)
2437 
ValueCountFrequency (%) 
80020320.9%
 
80111310.8%
 
80305270.7%
 
80206260.7%
 
80016260.7%
 
80124240.7%
 
80122240.7%
 
80503240.7%
 
80138240.7%
 
80302180.5%
 
Other values (1093)232363.5%
 
(Missing)107829.5%
 
2020-11-02T15:23:01.123715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique675 ?
Unique (%)26.2%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct1183
Distinct (%)45.9%
Missing1078
Missing (%)29.5%
Memory size28.6 KiB
9300 East Union Avenue
 
31
1515 Greenbriar Boulevard
 
27
1600 City Park Esplanade
 
26
5810 Mcarthur Ranch Road
 
24
2201 East Dry Creek Road
 
24
Other values (1178)
2447 
ValueCountFrequency (%) 
9300 East Union Avenue310.8%
 
1515 Greenbriar Boulevard270.7%
 
1600 City Park Esplanade260.7%
 
5810 Mcarthur Ranch Road240.7%
 
2201 East Dry Creek Road240.7%
 
1604 Arapahoe Avenue180.5%
 
2701 West 136Th Street170.5%
 
20 High Sch Ct.170.5%
 
1401 Artesia Blvd.160.4%
 
329 Campus Drive150.4%
 
Other values (1173)236464.6%
 
(Missing)107829.5%
 
2020-11-02T15:23:01.300117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique737 ?
Unique (%)28.6%

HS_TYPE_VALUE
Categorical

MISSING

Distinct7
Distinct (%)0.2%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
Regular School
2504 
Regular Elementary Or Secondary
546 
Special Program Emphasis
 
28
Other/Alternative School
 
12
Alternative/Other
 
10
Other values (2)
 
5
ValueCountFrequency (%) 
Regular School250468.5%
 
Regular Elementary Or Secondary54614.9%
 
Special Program Emphasis280.8%
 
Other/Alternative School120.3%
 
Alternative/Other100.3%
 
Vocational School40.1%
 
Special Education1< 0.1%
 
(Missing)55215.1%
 
2020-11-02T15:23:01.440658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)0.1%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
Public
2520 
Private
585 
ValueCountFrequency (%) 
Public252068.9%
 
Private58516.0%
 
(Missing)55215.1%
 
2020-11-02T15:23:01.555146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct1483
Distinct (%)47.8%
Missing552
Missing (%)15.1%
Memory size28.6 KiB
060515
 
31
060118
 
27
060400
 
26
060748
 
24
060928
 
24
Other values (1478)
2973 
ValueCountFrequency (%) 
060515310.8%
 
060118270.7%
 
060400260.7%
 
060748240.7%
 
060928240.7%
 
060115180.5%
 
060163170.5%
 
051855170.5%
 
051895160.4%
 
060749160.4%
 
Other values (1473)288979.0%
 
(Missing)55215.1%
 
2020-11-02T15:23:01.703910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique931 ?
Unique (%)30.0%

Dataset statistics

Number of variables123
Number of observations119
Missing cells7291
Missing cells (%)49.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.5 KiB
Average record size in memory985.1 B

Variable types

CAT59
UNSUPPORTED39
BOOL12
NUM10
DATE3

Warnings

YEAR has constant value "119" Constant
PERSON_FAMILY_SIZE has constant value "119" Constant
1_HIGH_SCHOOL_TYPE has constant value "119" Constant
PERSON_BIRTHDATE has a high cardinality: 108 distinct values High cardinality
ADDRESS_CITY has a high cardinality: 91 distinct values High cardinality
ADDRESS_COUNTY has a high cardinality: 57 distinct values High cardinality
ADDRESS_POSTAL has a high cardinality: 116 distinct values High cardinality
ADDRESS_US_5_DIGIT_ZIP_CODE has a high cardinality: 93 distinct values High cardinality
PERSON_HS_GPA_SR has a high cardinality: 77 distinct values High cardinality
1_HIGH_SCHOOL_CEEB_CODE has a high cardinality: 102 distinct values High cardinality
1_HIGH_SCHOOL_NAME has a high cardinality: 106 distinct values High cardinality
1_HIGH_SCHOOL_CITY has a high cardinality: 98 distinct values High cardinality
ADMIT_DECISION_RECEIVED_DATE has a high cardinality: 111 distinct values High cardinality
DEPOSIT_DECISION_CONFIRMED_DATE has a high cardinality: 81 distinct values High cardinality
HS_CITY_LOCATION has a high cardinality: 61 distinct values High cardinality
HS_NCES_ID has a high cardinality: 77 distinct values High cardinality
HS_NAME has a high cardinality: 77 distinct values High cardinality
HS_ZIP has a high cardinality: 66 distinct values High cardinality
HS_ADDRESS has a high cardinality: 67 distinct values High cardinality
HS_CEEB has a high cardinality: 77 distinct values High cardinality
PERSON_MULTIPLE_APPLICATIONS has 119 (100.0%) missing values Missing
ETHNICITY has 3 (2.5%) missing values Missing
ADDRESS_COUNTY has 16 (13.4%) missing values Missing
PERSON_HOME_SCHOOL has 119 (100.0%) missing values Missing
PERSON_ACT_MAX_COMPOSITE has 81 (68.1%) missing values Missing
PERSON_SATI_MAX_TOTAL has 119 (100.0%) missing values Missing
PERSON_SATR_MAX_COMPS has 31 (26.1%) missing values Missing
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK has 119 (100.0%) missing values Missing
PERSON_APPLICANT_FIRST_GENERATION has 107 (89.9%) missing values Missing
PARENT_CU_ATTENDANCE has 119 (100.0%) missing values Missing
PARENT_CU_EMPLOYMENT has 119 (100.0%) missing values Missing
PERSON_ENGLISH_NATIVE_LANGUAGE has 119 (100.0%) missing values Missing
PERSON_GROSS_FAMILY_INCOME has 47 (39.5%) missing values Missing
PERSON_FAFSA_SUBMITTED has 58 (48.7%) missing values Missing
PERSON_MILITARY_STATUS has 119 (100.0%) missing values Missing
PERSON_HS_RANK_PERCENTILE has 78 (65.5%) missing values Missing
PERSON_HS_EQUIVALENCY has 119 (100.0%) missing values Missing
PERSON_CUMULATIVE_GPA has 107 (89.9%) missing values Missing
PERSON_HS_GPA_CONVERT has 4 (3.4%) missing values Missing
PERSON_HS_GPA_SR has 33 (27.7%) missing values Missing
1_HIGH_SCHOOL_REGION has 11 (9.2%) missing values Missing
1_HIGH_SCHOOL_HONORS has 119 (100.0%) missing values Missing
CUB_IS__1_CHOICE has 56 (47.1%) missing values Missing
DEPOSIT_DECISION_CONFIRMED_DATE has 31 (26.1%) missing values Missing
APPLICATION_HOUSING_APPLICATION_COMPLETED has 68 (57.1%) missing values Missing
PAST_APP_HISTORY has 119 (100.0%) missing values Missing
PERSON_ENGAGEMENT has 79 (66.4%) missing values Missing
MOST_RECENT_ON_CAMPUS_EVENT has 80 (67.2%) missing values Missing
DATE_MOST_RECENT_ON_CAMPUS_EVENT has 80 (67.2%) missing values Missing
DEPOSIT_PAID_CREATED_DATE has 31 (26.1%) missing values Missing
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION has 119 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE has 119 (100.0%) missing values Missing
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT has 119 (100.0%) missing values Missing
RELATION_SIBLING_HIGHEST_EDUCATION has 119 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT has 119 (100.0%) missing values Missing
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE has 119 (100.0%) missing values Missing
RELATION_STEP_PARENT_HIGHEST_EDUCATION has 119 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE has 119 (100.0%) missing values Missing
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT has 119 (100.0%) missing values Missing
RELATION_GRANDPARENT_HIGHEST_EDUCATION has 119 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT has 119 (100.0%) missing values Missing
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE has 119 (100.0%) missing values Missing
APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC has 94 (79.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT has 119 (100.0%) missing values Missing
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT has 119 (100.0%) missing values Missing
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL has 119 (100.0%) missing values Missing
PERSON_YEARS_LIVED_IN_U_S has 105 (88.2%) missing values Missing
PERSON_YEARS_LIVED_OUTSIDE_U_S has 23 (19.3%) missing values Missing
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR has 119 (100.0%) missing values Missing
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR has 119 (100.0%) missing values Missing
APPLICATION_BAKER_SCHOLAR has 112 (94.1%) missing values Missing
APPLICATION_CHANCELLOR_SCHOLAR has 108 (90.8%) missing values Missing
APPLICATION_DEAN_SCHOLAR has 119 (100.0%) missing values Missing
APPLICATION_HALE_SCHOLAR has 118 (99.2%) missing values Missing
APPLICATION_IMPACT_SCHOLARSHIP has 119 (100.0%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_ADMIT has 119 (100.0%) missing values Missing
APPLICATION_LEEDS_SCHOLAR_APPLICANT has 119 (100.0%) missing values Missing
APPLICATION_MUSIC_SCHOLARSHIP has 119 (100.0%) missing values Missing
APPLICATION_PRESIDENTIAL_SCHOLAR has 116 (97.5%) missing values Missing
APPLICATION_REGENT_SCHOLARSHIP has 118 (99.2%) missing values Missing
APPLICATION_SEWALL_SCHOLAR has 115 (96.6%) missing values Missing
APPLICATION_EXCEL has 118 (99.2%) missing values Missing
PERSON_TUITION_CLASSIFICATION has 119 (100.0%) missing values Missing
APPLICATION_ADMITTED_FROM_WAITLIST has 116 (97.5%) missing values Missing
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS has 119 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_RURAL has 119 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE has 119 (100.0%) missing values Missing
PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS has 118 (99.2%) missing values Missing
PERSON_DANIEL_S_SCHOLAR has 119 (100.0%) missing values Missing
PERSON_ENGINEARME has 119 (100.0%) missing values Missing
HS_CITY_LOCATION has 38 (31.9%) missing values Missing
HS_TOT_ENROLLMENT has 26 (21.8%) missing values Missing
HS_NCES_ID has 26 (21.8%) missing values Missing
HS_NAME has 26 (21.8%) missing values Missing
HS_TYPE has 26 (21.8%) missing values Missing
HS_STATE has 38 (31.9%) missing values Missing
HS_TEACHERS_FTE has 26 (21.8%) missing values Missing
HS_URBAN_CENTRIC_LOCALE_CODE has 26 (21.8%) missing values Missing
HS_ZIP has 38 (31.9%) missing values Missing
HS_ADDRESS has 38 (31.9%) missing values Missing
HS_TYPE_VALUE has 26 (21.8%) missing values Missing
HS_CLASSIFICATION has 26 (21.8%) missing values Missing
HS_CEEB has 26 (21.8%) missing values Missing
df_index has unique values Unique
APPLICATION_COMMON_APP_ID has unique values Unique
PERSON_REFERENCE_ID has unique values Unique
PERSON_CU_SIS_ID has unique values Unique
ADDRESS_STREET_COMBINED has unique values Unique
PERSON_MULTIPLE_APPLICATIONS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_HOME_SCHOOL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_SATI_MAX_TOTAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_24_OR_MORE_HOURS_COLLEGE_WORK is an unsupported type, check if it needs cleaning or further analysis Unsupported
PARENT_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PARENT_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGLISH_NATIVE_LANGUAGE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_MILITARY_STATUS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_HS_EQUIVALENCY is an unsupported type, check if it needs cleaning or further analysis Unsupported
1_HIGH_SCHOOL_HONORS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PAST_APP_HISTORY is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_HIGHEST_EDUCATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT is an unsupported type, check if it needs cleaning or further analysis Unsupported
RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_DEAN_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_IMPACT_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_ADMIT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_LEEDS_SCHOLAR_APPLICANT is an unsupported type, check if it needs cleaning or further analysis Unsupported
APPLICATION_MUSIC_SCHOLARSHIP is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_TUITION_CLASSIFICATION is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_RURAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_PRE_COLLEGIATE_WESTERN_SLOPE is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_DANIEL_S_SCHOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
PERSON_ENGINEARME is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2020-11-02 22:23:04.289423
Analysis finished2020-11-02 22:23:05.647484
Duration1.36 second
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

df_index
Real number (&Ropf≥0)

UNIQUE

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73943.61345
Minimum510
Maximum94930
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:05.725005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum510
5-th percentile36621
Q167215
median76470
Q388640
95-th percentile93800
Maximum94930
Range94420
Interquartile range (IQR)21425

Descriptive statistics

Standard deviation19322.44785
Coefficient of variation (CV)0.2613132758
Kurtosis3.774042449
Mean73943.61345
Median Absolute Deviation (MAD)10910
Skewness-1.766961178
Sum8799290
Variance373356991.1
MonotocityStrictly increasing
2020-11-02T15:23:05.885186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51010.8%
 
8172010.8%
 
7175010.8%
 
6868010.8%
 
7790010.8%
 
8755010.8%
 
8135010.8%
 
981010.8%
 
8738010.8%
 
9077010.8%
 
Other values (109)10991.6%
 
ValueCountFrequency (%) 
51010.8%
 
720010.8%
 
981010.8%
 
1199010.8%
 
1395010.8%
 
ValueCountFrequency (%) 
9493010.8%
 
9478010.8%
 
9470010.8%
 
9462010.8%
 
9459010.8%
 

APPLICATION_COMMON_APP_ID
Categorical

UNIQUE

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
25177163-2020
 
1
22903884-2020
 
1
22959390-2020
 
1
23009085-2020
 
1
25114065-2020
 
1
Other values (114)
114 
ValueCountFrequency (%) 
25177163-202010.8%
 
22903884-202010.8%
 
22959390-202010.8%
 
23009085-202010.8%
 
25114065-202010.8%
 
24992969-202010.8%
 
24674751-202010.8%
 
24371079-202010.8%
 
23014468-202010.8%
 
25345437-202010.8%
 
Other values (109)10991.6%
 
2020-11-02T15:23:06.053343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique119 ?
Unique (%)100.0%

PERSON_REFERENCE_ID
Categorical

UNIQUE

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
653353582
 
1
545962783
 
1
985344634
 
1
430201873
 
1
52333823
 
1
Other values (114)
114 
ValueCountFrequency (%) 
65335358210.8%
 
54596278310.8%
 
98534463410.8%
 
43020187310.8%
 
5233382310.8%
 
42482234210.8%
 
40182846210.8%
 
11352979210.8%
 
33022777810.8%
 
12706670510.8%
 
Other values (109)10991.6%
 
2020-11-02T15:23:06.214081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique119 ?
Unique (%)100.0%

PERSON_CU_SIS_ID
Categorical

UNIQUE

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
109884969.0
 
1
109914945.0
 
1
109730787.0
 
1
109914768.0
 
1
109771152.0
 
1
Other values (114)
114 
ValueCountFrequency (%) 
109884969.010.8%
 
109914945.010.8%
 
109730787.010.8%
 
109914768.010.8%
 
109771152.010.8%
 
109800297.010.8%
 
109807713.010.8%
 
109740576.010.8%
 
109927317.010.8%
 
109756200.010.8%
 
Other values (109)10991.6%
 
2020-11-02T15:23:06.374985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique119 ?
Unique (%)100.0%

YEAR
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size952.0 B
2021
119 
ValueCountFrequency (%) 
2021119100.0%
 
2020-11-02T15:23:06.503983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_FINAL_TERM
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
2021 Fall
87 
2021 Spr
31 
2021 Sum
 
1
ValueCountFrequency (%) 
2021 Fall8773.1%
 
2021 Spr3126.1%
 
2021 Sum10.8%
 
2020-11-02T15:23:06.607181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

APPLICATION_APPLIED_TERM
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
2020 Fall
117 
2020 Spr
 
1
2019 Fall
 
1
ValueCountFrequency (%) 
2020 Fall11798.3%
 
2020 Spr10.8%
 
2019 Fall10.8%
 
2020-11-02T15:23:06.719106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

RESIDENCY_STATUS
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
Non-Resident
54 
Resident
51 
Non-Resident International
14 
ValueCountFrequency (%) 
Non-Resident5445.4%
 
Resident5142.9%
 
Non-Resident International1411.8%
 
2020-11-02T15:23:06.847136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_MULTIPLE_APPLICATIONS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_SEX
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
M
67 
F
52 
ValueCountFrequency (%) 
M6756.3%
 
F5243.7%
 
2020-11-02T15:23:06.973432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ETHNICITY
Categorical

MISSING

Distinct6
Distinct (%)5.2%
Missing3
Missing (%)2.5%
Memory size952.0 B
White
85 
Asian
14 
Hispanic
13 
American Indian or Alaska Native
 
2
Native Hawaiian or Other Pacific Islander
 
1
ValueCountFrequency (%) 
White8571.4%
 
Asian1411.8%
 
Hispanic1310.9%
 
American Indian or Alaska Native21.7%
 
Native Hawaiian or Other Pacific Islander10.8%
 
Black or African American10.8%
 
(Missing)32.5%
 
2020-11-02T15:23:07.086023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

PERSON_BIRTHDATE
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size952.0 B
2002-06-05
 
3
2001-10-02
 
2
2001-11-20
 
2
2001-10-19
 
2
2002-04-11
 
2
Other values (103)
108 
ValueCountFrequency (%) 
2002-06-0532.5%
 
2001-10-0221.7%
 
2001-11-2021.7%
 
2001-10-1921.7%
 
2002-04-1121.7%
 
2002-01-1721.7%
 
2002-08-1721.7%
 
2002-08-0921.7%
 
2001-10-2321.7%
 
2002-04-1821.7%
 
Other values (98)9882.4%
 
2020-11-02T15:23:07.227355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique98 ?
Unique (%)82.4%

ADDRESS_STREET_COMBINED
Categorical

UNIQUE

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
5202 N 69th Pl
 
1
353 Fairbrook Cir NE
 
1
6065 Zang Way
 
1
225 Inwood Ave
 
1
Street 6 Salwa Block 2, House 13
 
1
Other values (114)
114 
ValueCountFrequency (%) 
5202 N 69th Pl10.8%
 
353 Fairbrook Cir NE10.8%
 
6065 Zang Way10.8%
 
225 Inwood Ave10.8%
 
Street 6 Salwa Block 2, House 1310.8%
 
524 Forest Dr10.8%
 
2475 Juniper Ave10.8%
 
11015 W Rowland Ave10.8%
 
781 Sylvan Way10.8%
 
5901 Avocet Way10.8%
 
Other values (109)10991.6%
 
2020-11-02T15:23:07.400105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique119 ?
Unique (%)100.0%

ADDRESS_CITY
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
Denver
 
8
Boulder
 
7
Littleton
 
4
Colorado Spgs
 
3
Longmont
 
3
Other values (86)
94 
ValueCountFrequency (%) 
Denver86.7%
 
Boulder75.9%
 
Littleton43.4%
 
Colorado Spgs32.5%
 
Longmont32.5%
 
Lafayette21.7%
 
Kuwait City21.7%
 
Fort Collins21.7%
 
Austin21.7%
 
Vienna21.7%
 
Other values (81)8470.6%
 
2020-11-02T15:23:07.572188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique78 ?
Unique (%)65.5%

ADDRESS_COUNTY
Categorical

HIGH CARDINALITY
MISSING

Distinct57
Distinct (%)55.3%
Missing16
Missing (%)13.4%
Memory size952.0 B
Boulder
14 
Denver
 
6
Douglas
 
5
Jefferson
 
5
El Paso
 
4
Other values (52)
69 
ValueCountFrequency (%) 
Boulder1411.8%
 
Denver65.0%
 
Douglas54.2%
 
Jefferson54.2%
 
El Paso43.4%
 
Larimer43.4%
 
Adams43.4%
 
Arapahoe32.5%
 
Fairfield32.5%
 
Orange32.5%
 
Other values (47)5243.7%
 
(Missing)1613.4%
 
2020-11-02T15:23:07.751855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique42 ?
Unique (%)40.8%

ADDRESS_REGION
Categorical

Distinct36
Distinct (%)30.5%
Missing1
Missing (%)0.8%
Memory size952.0 B
CO
52 
CA
10 
IL
 
5
TX
 
5
MA
 
3
Other values (31)
43 
ValueCountFrequency (%) 
CO5243.7%
 
CA108.4%
 
IL54.2%
 
TX54.2%
 
MA32.5%
 
MD32.5%
 
CT32.5%
 
VA32.5%
 
NJ21.7%
 
FL21.7%
 
Other values (26)3025.2%
 
2020-11-02T15:23:07.912475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)18.6%

ADDRESS_POSTAL
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
nan
 
4
60015-1758
 
1
94010-4908
 
1
01581-1145
 
1
45404
 
1
Other values (111)
111 
ValueCountFrequency (%) 
nan43.4%
 
60015-175810.8%
 
94010-490810.8%
 
01581-114510.8%
 
4540410.8%
 
21044-470810.8%
 
6422-3283310.8%
 
80026-333810.8%
 
92705-133410.8%
 
80123-672610.8%
 
Other values (106)10689.1%
 
2020-11-02T15:23:08.070590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique115 ?
Unique (%)96.6%

ADDRESS_US_5_DIGIT_ZIP_CODE
Categorical

HIGH CARDINALITY

Distinct93
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size952.0 B
nan
16 
80127.0
 
3
80305.0
 
3
80921.0
 
2
80020.0
 
2
Other values (88)
93 
ValueCountFrequency (%) 
nan1613.4%
 
80127.032.5%
 
80305.032.5%
 
80921.021.7%
 
80020.021.7%
 
80026.021.7%
 
80503.021.7%
 
80210.021.7%
 
80304.021.7%
 
80027.021.7%
 
Other values (83)8369.7%
 
2020-11-02T15:23:08.464972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique83 ?
Unique (%)69.7%

ADDRESS_COUNTRY
Categorical

Distinct12
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size952.0 B
United States
103 
Kuwait
 
3
China
 
2
Saudi Arabia
 
2
India
 
2
Other values (7)
 
7
ValueCountFrequency (%) 
United States10386.6%
 
Kuwait32.5%
 
China21.7%
 
Saudi Arabia21.7%
 
India21.7%
 
United Kingdom10.8%
 
South Africa10.8%
 
Oman10.8%
 
Ecuador10.8%
 
Panama10.8%
 
Other values (2)21.7%
 
2020-11-02T15:23:08.615002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique7 ?
Unique (%)5.9%

PERSON_HOME_SCHOOL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_ACT_MAX_COMPOSITE
Real number (&Ropf≥0)

MISSING

Distinct16
Distinct (%)42.1%
Missing81
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean28.71052632
Minimum17
Maximum36
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:08.719539image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile21
Q125
median29
Q333
95-th percentile35.15
Maximum36
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.914995778
Coefficient of variation (CV)0.1711914203
Kurtosis-0.6551674513
Mean28.71052632
Median Absolute Deviation (MAD)4
Skewness-0.2642720321
Sum1091
Variance24.1571835
MonotocityNot monotonic
2020-11-02T15:23:08.826948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
3554.2%
 
3043.4%
 
2743.4%
 
2543.4%
 
2932.5%
 
2332.5%
 
3321.7%
 
2821.7%
 
2121.7%
 
3621.7%
 
Other values (6)75.9%
 
(Missing)8168.1%
 
ValueCountFrequency (%) 
1710.8%
 
2121.7%
 
2210.8%
 
2332.5%
 
2543.4%
 
ValueCountFrequency (%) 
3621.7%
 
3554.2%
 
3421.7%
 
3321.7%
 
3210.8%
 

PERSON_SATI_MAX_TOTAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_SATR_MAX_COMPS
Real number (&Ropf≥0)

MISSING

Distinct48
Distinct (%)54.5%
Missing31
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean1213.181818
Minimum860
Maximum1580
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:08.962573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum860
5-th percentile993.5
Q11110
median1190
Q31302.5
95-th percentile1506.5
Maximum1580
Range720
Interquartile range (IQR)192.5

Descriptive statistics

Standard deviation152.2289976
Coefficient of variation (CV)0.1254791288
Kurtosis-0.1549145638
Mean1213.181818
Median Absolute Deviation (MAD)90
Skewness0.3242451765
Sum106760
Variance23173.66771
MonotocityNot monotonic
2020-11-02T15:23:09.107859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
114043.4%
 
118043.4%
 
117043.4%
 
111043.4%
 
116043.4%
 
126043.4%
 
122032.5%
 
119032.5%
 
125032.5%
 
135032.5%
 
Other values (38)5243.7%
 
(Missing)3126.1%
 
ValueCountFrequency (%) 
86010.8%
 
92010.8%
 
94010.8%
 
97010.8%
 
99010.8%
 
ValueCountFrequency (%) 
158010.8%
 
152032.5%
 
151010.8%
 
150021.7%
 
148010.8%
 

PERSON_24_OR_MORE_HOURS_COLLEGE_WORK
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_APPLICANT_FIRST_GENERATION
Categorical

MISSING

Distinct1
Distinct (%)8.3%
Missing107
Missing (%)89.9%
Memory size952.0 B
Yes
12 
ValueCountFrequency (%) 
Yes1210.1%
 
(Missing)10789.9%
 
2020-11-02T15:23:09.249297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PERSON_FAMILY_SIZE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size952.0 B
nan
119 
ValueCountFrequency (%) 
nan119100.0%
 
2020-11-02T15:23:09.354106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

PARENT_HIGHEST_EDUCATION
Categorical

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
G. Bachelor's Level Degree
49 
H. Some Graduate School
48 
C. High School Graduate or Equivalent
12 
D. Some College
8 
B. Less Than High School Graduate
 
1
ValueCountFrequency (%) 
G. Bachelor's Level Degree4941.2%
 
H. Some Graduate School4840.3%
 
C. High School Graduate or Equivalent1210.1%
 
D. Some College86.7%
 
B. Less Than High School Graduate10.8%
 
E. Technical School10.8%
 
2020-11-02T15:23:09.465099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

PARENT_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PARENT_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_ENGLISH_NATIVE_LANGUAGE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_NATIVE_LANGUAGE
Categorical

Distinct8
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
EN
110 
AR
 
3
GE
 
1
BO
 
1
HE
 
1
Other values (3)
 
3
ValueCountFrequency (%) 
EN11092.4%
 
AR32.5%
 
GE10.8%
 
BO10.8%
 
HE10.8%
 
SP10.8%
 
IT10.8%
 
FR10.8%
 
2020-11-02T15:23:09.581675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)5.0%

PERSON_GROSS_FAMILY_INCOME
Categorical

MISSING

Distinct7
Distinct (%)9.7%
Missing47
Missing (%)39.5%
Memory size952.0 B
G. More than $150,000
44 
F. $100,000 - $149,999
12 
D. $60,000 - $74,999
5 
B. $15,000 - $34,999
5 
E. $75,000 - $99,999
 
3
Other values (2)
 
3
ValueCountFrequency (%) 
G. More than $150,0004437.0%
 
F. $100,000 - $149,9991210.1%
 
D. $60,000 - $74,99954.2%
 
B. $15,000 - $34,99954.2%
 
E. $75,000 - $99,99932.5%
 
C. $35,000 - $59,99921.7%
 
A. $0 - $15,00010.8%
 
(Missing)4739.5%
 
2020-11-02T15:23:09.693926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.4%

PERSON_FAFSA_SUBMITTED
Boolean

MISSING

Distinct1
Distinct (%)1.6%
Missing58
Missing (%)48.7%
Memory size952.0 B
1
61 
(Missing)
58 
ValueCountFrequency (%) 
16151.3%
 
(Missing)5848.7%
 

PERSON_MILITARY_STATUS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_HS_RANK_PERCENTILE
Real number (&Ropf≥0)

MISSING

Distinct29
Distinct (%)70.7%
Missing78
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean71.41463415
Minimum0
Maximum100
Zeros1
Zeros (%)0.8%
Memory size952.0 B
2020-11-02T15:23:09.802316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q159
median79
Q388
95-th percentile98
Maximum100
Range100
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.93282427
Coefficient of variation (CV)0.3071194655
Kurtosis1.57333155
Mean71.41463415
Median Absolute Deviation (MAD)12
Skewness-1.129621092
Sum2928
Variance481.0487805
MonotocityNot monotonic
2020-11-02T15:23:09.930085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
8043.4%
 
7932.5%
 
6732.5%
 
8821.7%
 
9621.7%
 
9021.7%
 
5921.7%
 
8921.7%
 
010.8%
 
5510.8%
 
Other values (19)1916.0%
 
(Missing)7865.5%
 
ValueCountFrequency (%) 
010.8%
 
2910.8%
 
3210.8%
 
3510.8%
 
4010.8%
 
ValueCountFrequency (%) 
10010.8%
 
9910.8%
 
9810.8%
 
9710.8%
 
9621.7%
 

PERSON_HS_EQUIVALENCY
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_CUMULATIVE_GPA
Real number (&Ropf≥0)

MISSING

Distinct7
Distinct (%)58.3%
Missing107
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean3.546583333
Minimum2.8
Maximum4
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:10.041260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.85225
Q13
median3.807
Q34
95-th percentile4
Maximum4
Range1.2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5093561816
Coefficient of variation (CV)0.1436188392
Kurtosis-1.909375188
Mean3.546583333
Median Absolute Deviation (MAD)0.193
Skewness-0.4343477534
Sum42.559
Variance0.2594437197
MonotocityNot monotonic
2020-11-02T15:23:10.147898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
454.2%
 
321.7%
 
3.91410.8%
 
3.710.8%
 
2.810.8%
 
2.89510.8%
 
3.2510.8%
 
(Missing)10789.9%
 
ValueCountFrequency (%) 
2.810.8%
 
2.89510.8%
 
321.7%
 
3.2510.8%
 
3.710.8%
 
ValueCountFrequency (%) 
454.2%
 
3.91410.8%
 
3.710.8%
 
3.2510.8%
 
321.7%
 

PERSON_HS_GPA_CONVERT
Real number (&Ropf≥0)

MISSING

Distinct81
Distinct (%)70.4%
Missing4
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean3.609243478
Minimum2.489
Maximum4
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:10.278128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.489
5-th percentile3.0431
Q13.355
median3.65
Q33.963
95-th percentile4
Maximum4
Range1.511
Interquartile range (IQR)0.608

Descriptive statistics

Standard deviation0.3584151663
Coefficient of variation (CV)0.09930479017
Kurtosis-0.1019036222
Mean3.609243478
Median Absolute Deviation (MAD)0.31
Skewness-0.6892510741
Sum415.063
Variance0.1284614314
MonotocityNot monotonic
2020-11-02T15:23:10.424105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42621.8%
 
3.532.5%
 
3.3221.7%
 
3.9621.7%
 
3.26721.7%
 
3.8721.7%
 
3.421.7%
 
3.18621.7%
 
3.4121.7%
 
3.6510.8%
 
Other values (71)7159.7%
 
(Missing)43.4%
 
ValueCountFrequency (%) 
2.48910.8%
 
2.610.8%
 
2.7210.8%
 
2.90510.8%
 
3.0210.8%
 
ValueCountFrequency (%) 
42621.8%
 
3.9910.8%
 
3.9810.8%
 
3.96610.8%
 
3.9621.7%
 

PERSON_HS_GPA_SR
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)89.5%
Missing33
Missing (%)27.7%
Memory size952.0 B
3.56
 
4
3.98
 
2
3.89
 
2
3.18
 
2
3.07
 
2
Other values (72)
74 
ValueCountFrequency (%) 
3.5643.4%
 
3.9821.7%
 
3.8921.7%
 
3.1821.7%
 
3.0721.7%
 
3.7621.7%
 
3.7921.7%
 
3.8110.8%
 
3.98310.8%
 
4.5510.8%
 
Other values (67)6756.3%
 
(Missing)3327.7%
 
2020-11-02T15:23:10.599510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique70 ?
Unique (%)81.4%

1_HIGH_SCHOOL_CEEB_CODE
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
060118
 
6
060400
 
4
060865
 
3
060515
 
2
060435
 
2
Other values (97)
102 
ValueCountFrequency (%) 
06011865.0%
 
06040043.4%
 
06086532.5%
 
06051521.7%
 
06043521.7%
 
47227821.7%
 
06013021.7%
 
06004921.7%
 
06095221.7%
 
06086721.7%
 
Other values (92)9277.3%
 
2020-11-02T15:23:10.767282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique92 ?
Unique (%)77.3%

1_HIGH_SCHOOL_NAME
Categorical

HIGH CARDINALITY

Distinct106
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size952.0 B
East High School
 
4
Fairview High School
 
4
Centaurus High School
 
3
Alexander Dawson School
 
2
FAIRVIEW HIGH SCHOOL
 
2
Other values (101)
104 
ValueCountFrequency (%) 
East High School43.4%
 
Fairview High School43.4%
 
Centaurus High School32.5%
 
Alexander Dawson School21.7%
 
FAIRVIEW HIGH SCHOOL21.7%
 
Thompson Valley High School21.7%
 
Regis Jesuit High School Boys21.7%
 
Cherry Creek High School21.7%
 
Middle Park High School10.8%
 
Discovery Canyon Campus HS10.8%
 
Other values (96)9680.7%
 
2020-11-02T15:23:10.930800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique98 ?
Unique (%)82.4%

1_HIGH_SCHOOL_ATTENDED_TO_DATE
Date

Distinct10
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size952.0 B
Minimum2016-05-01 00:00:00
Maximum2020-08-01 00:00:00
2020-11-02T15:23:11.052157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:23:11.164512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

1_HIGH_SCHOOL_REGION
Categorical

MISSING

Distinct25
Distinct (%)23.1%
Missing11
Missing (%)9.2%
Memory size952.0 B
CO
50 
CA
12 
TX
 
5
IL
 
5
MD
 
3
Other values (20)
33 
ValueCountFrequency (%) 
CO5042.0%
 
CA1210.1%
 
TX54.2%
 
IL54.2%
 
MD32.5%
 
NJ32.5%
 
MA32.5%
 
VA32.5%
 
CT32.5%
 
WA21.7%
 
Other values (15)1916.0%
 
(Missing)119.2%
 
2020-11-02T15:23:11.309078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique11 ?
Unique (%)10.2%

1_HIGH_SCHOOL_CITY
Categorical

HIGH CARDINALITY

Distinct98
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size952.0 B
Denver
 
7
Lafayette
 
5
Boulder
 
4
BOULDER
 
3
Englewood
 
2
Other values (93)
98 
ValueCountFrequency (%) 
Denver75.9%
 
Lafayette54.2%
 
Boulder43.4%
 
BOULDER32.5%
 
Englewood21.7%
 
Aurora21.7%
 
ARVADA21.7%
 
Austin21.7%
 
COLUMBIA21.7%
 
Fort Collins21.7%
 
Other values (88)8873.9%
 
2020-11-02T15:23:11.464046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique88 ?
Unique (%)73.9%

1_HIGH_SCHOOL_TYPE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size952.0 B
High School
119 
ValueCountFrequency (%) 
High School119100.0%
 
2020-11-02T15:23:11.595849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

1_HIGH_SCHOOL_HONORS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

CUB_IS__1_CHOICE
Categorical

MISSING

Distinct2
Distinct (%)3.2%
Missing56
Missing (%)47.1%
Memory size952.0 B
Other college listed
61 
Yes
 
2
ValueCountFrequency (%) 
Other college listed6151.3%
 
Yes21.7%
 
(Missing)5647.1%
 
2020-11-02T15:23:11.703777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_CU_SIS_APP_MATRICULATED
Boolean

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
No
117 
Yes
 
2
ValueCountFrequency (%) 
No11798.3%
 
Yes21.7%
 

ADMITTED_COLLEGE
Categorical

Distinct7
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size952.0 B
ARSCU
58 
MULTU
35 
ENGRU
19 
BUSNU
 
4
ARPLU
 
1
Other values (2)
 
2
ValueCountFrequency (%) 
ARSCU5848.7%
 
MULTU3529.4%
 
ENGRU1916.0%
 
BUSNU43.4%
 
ARPLU10.8%
 
CMCIU10.8%
 
EDUCU10.8%
 
2020-11-02T15:23:11.824394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)2.5%

APPLICATION_ORIGINAL_ACADEMIC_COLLEGE
Categorical

Distinct8
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
College of Arts & Sciences
58 
College of Engineering & Applied Science
28 
Leeds School of Business
21 
Program in Exploratory Studies
 
5
College of Media, Communication & Information
 
3
Other values (3)
 
4
ValueCountFrequency (%) 
College of Arts & Sciences5848.7%
 
College of Engineering & Applied Science2823.5%
 
Leeds School of Business2117.6%
 
Program in Exploratory Studies54.2%
 
College of Media, Communication & Information32.5%
 
Program in Environmental Design21.7%
 
School of Education10.8%
 
College of Music10.8%
 
2020-11-02T15:23:11.947812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

APPLICATION_ORIGINAL_ACADEMIC_INTEREST
Categorical

Distinct44
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size952.0 B
Business - Open Option (Undecided)
14 
Psychology
13 
Arts and Sciences - Open Option (Undecided)
8 
Aerospace Engineering Sciences
 
7
Exploratory Studies/University-wide Open Option (Undecided)
 
5
Other values (39)
72 
ValueCountFrequency (%) 
Business - Open Option (Undecided)1411.8%
 
Psychology1310.9%
 
Arts and Sciences - Open Option (Undecided)86.7%
 
Aerospace Engineering Sciences75.9%
 
Exploratory Studies/University-wide Open Option (Undecided)54.2%
 
Mechanical Engineering54.2%
 
Physics43.4%
 
Biomedical Engineering32.5%
 
Biological Sciences-Molecular, Cellular, & Developmental Biology32.5%
 
Political Science32.5%
 
Other values (34)5445.4%
 
2020-11-02T15:23:12.093184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)16.8%

APPLICATION_SUBMITTED_DATE
Categorical

Distinct41
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
2019-10-15 12:00 AM
18 
2020-01-15 12:00 AM
12 
2019-11-15 12:00 AM
10 
2020-01-14 12:00 AM
8 
2019-11-13 12:00 AM
 
5
Other values (36)
66 
ValueCountFrequency (%) 
2019-10-15 12:00 AM1815.1%
 
2020-01-15 12:00 AM1210.1%
 
2019-11-15 12:00 AM108.4%
 
2020-01-14 12:00 AM86.7%
 
2019-11-13 12:00 AM54.2%
 
2019-10-16 12:00 AM54.2%
 
2019-10-27 12:00 AM43.4%
 
2019-11-14 12:00 AM43.4%
 
2019-10-28 12:00 AM32.5%
 
2019-11-16 12:00 AM32.5%
 
Other values (31)4739.5%
 
2020-11-02T15:23:12.263917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)16.8%

APPLICATION_FINAL_RECOMMENDED_DECISION_FROM_READER_FORM
Categorical

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size952.0 B
Admit First Choice Program
86 
Admit Exploratory Studies
26 
Admit Pre Engineering
 
3
Admit Pre Business
 
3
Admit Exploratory Studies with GoldShirt Invite
 
1
ValueCountFrequency (%) 
Admit First Choice Program8672.3%
 
Admit Exploratory Studies2621.8%
 
Admit Pre Engineering32.5%
 
Admit Pre Business32.5%
 
Admit Exploratory Studies with GoldShirt Invite10.8%
 
2020-11-02T15:23:12.402086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

ADMIT_DECISION_RELEASED_DATE
Categorical

Distinct15
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size952.0 B
2020-01-10 06:00 PM
57 
2020-03-06 06:33 PM
12 
2020-02-24 02:19 PM
12 
2020-03-26 06:46 PM
10 
2020-03-06 06:38 PM
9 
Other values (10)
19 
ValueCountFrequency (%) 
2020-01-10 06:00 PM5747.9%
 
2020-03-06 06:33 PM1210.1%
 
2020-02-24 02:19 PM1210.1%
 
2020-03-26 06:46 PM108.4%
 
2020-03-06 06:38 PM97.6%
 
2020-04-10 06:58 PM75.9%
 
2020-04-23 04:49 PM21.7%
 
2020-03-06 06:05 PM21.7%
 
2020-03-20 06:52 PM21.7%
 
2019-03-01 07:18 PM10.8%
 
Other values (5)54.2%
 
2020-11-02T15:23:12.515133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)5.0%

ADMIT_DECISION_RECEIVED_DATE
Categorical

HIGH CARDINALITY

Distinct111
Distinct (%)94.1%
Missing1
Missing (%)0.8%
Memory size952.0 B
2020-01-10 07:06 PM
 
3
2020-01-10 06:47 PM
 
2
2020-02-24 03:35 PM
 
2
2020-01-10 06:51 PM
 
2
2020-01-10 06:48 PM
 
2
Other values (106)
107 
ValueCountFrequency (%) 
2020-01-10 07:06 PM32.5%
 
2020-01-10 06:47 PM21.7%
 
2020-02-24 03:35 PM21.7%
 
2020-01-10 06:51 PM21.7%
 
2020-01-10 06:48 PM21.7%
 
2020-01-10 07:22 PM21.7%
 
2020-01-10 07:42 PM10.8%
 
2020-01-12 12:34 PM10.8%
 
2020-01-10 06:59 PM10.8%
 
2020-01-10 08:45 PM10.8%
 
Other values (101)10184.9%
 
2020-11-02T15:23:12.663581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique105 ?
Unique (%)89.0%

DEPOSIT_DECISION_CONFIRMED_DATE
Categorical

HIGH CARDINALITY
MISSING

Distinct81
Distinct (%)92.0%
Missing31
Missing (%)26.1%
Memory size952.0 B
2020-04-29 06:45 PM
 
4
2020-04-30 06:12 PM
 
3
2020-06-12 06:14 PM
 
2
2020-04-15 07:06 PM
 
2
2020-03-17 09:32 PM
 
1
Other values (76)
76 
ValueCountFrequency (%) 
2020-04-29 06:45 PM43.4%
 
2020-04-30 06:12 PM32.5%
 
2020-06-12 06:14 PM21.7%
 
2020-04-15 07:06 PM21.7%
 
2020-03-17 09:32 PM10.8%
 
2020-04-10 08:24 PM10.8%
 
2020-04-30 11:41 PM10.8%
 
2020-03-09 08:45 PM10.8%
 
2020-03-31 05:12 PM10.8%
 
2020-04-26 11:18 PM10.8%
 
Other values (71)7159.7%
 
(Missing)3126.1%
 
2020-11-02T15:23:12.844034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique77 ?
Unique (%)87.5%

APPLICATION_HOUSING_APPLICATION_COMPLETED
Boolean

MISSING

Distinct1
Distinct (%)2.0%
Missing68
Missing (%)57.1%
Memory size952.0 B
1
51 
(Missing)
68 
ValueCountFrequency (%) 
15142.9%
 
(Missing)6857.1%
 

MOST_RECENT_DECISION__ANY_APP
Categorical

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size952.0 B
Defer (Deposit Paid)
82 
Defer Admit
29 
Deposit Paid
 
6
Admit
 
1
Deposit Pending
 
1
ValueCountFrequency (%) 
Defer (Deposit Paid)8268.9%
 
Defer Admit2924.4%
 
Deposit Paid65.0%
 
Admit10.8%
 
Deposit Pending10.8%
 
2020-11-02T15:23:12.995759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

PAST_APP_HISTORY
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_ENGAGEMENT
Categorical

MISSING

Distinct4
Distinct (%)10.0%
Missing79
Missing (%)66.4%
Memory size952.0 B
Red
20 
Black
16 
Blue
 
2
Green
 
2
ValueCountFrequency (%) 
Red2016.8%
 
Black1613.4%
 
Blue21.7%
 
Green21.7%
 
(Missing)7966.4%
 
2020-11-02T15:23:13.126010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

TOTAL_PING_TIME__SEC
Real number (&Ropf≥0)

Distinct111
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.9663866
Minimum0
Maximum1002
Zeros1
Zeros (%)0.8%
Memory size952.0 B
2020-11-02T15:23:13.262374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.6
Q197.5
median193
Q3343
95-th percentile648.3
Maximum1002
Range1002
Interquartile range (IQR)245.5

Descriptive statistics

Standard deviation202.103847
Coefficient of variation (CV)0.8183455643
Kurtosis1.377218466
Mean246.9663866
Median Absolute Deviation (MAD)118
Skewness1.216848236
Sum29389
Variance40845.96496
MonotocityNot monotonic
2020-11-02T15:23:13.691355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12121.7%
 
4321.7%
 
14021.7%
 
10021.7%
 
4021.7%
 
11021.7%
 
11121.7%
 
10821.7%
 
33010.8%
 
32810.8%
 
Other values (101)10184.9%
 
ValueCountFrequency (%) 
010.8%
 
310.8%
 
910.8%
 
1210.8%
 
1410.8%
 
ValueCountFrequency (%) 
100210.8%
 
78310.8%
 
76710.8%
 
76510.8%
 
74510.8%
 

MESSAGE_COUNT
Real number (&Ropf≥0)

Distinct41
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.42857143
Minimum3
Maximum59
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:13.829165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10.9
Q122.5
median28
Q336
95-th percentile44.2
Maximum59
Range56
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation10.54334992
Coefficient of variation (CV)0.3708716053
Kurtosis0.03091209366
Mean28.42857143
Median Absolute Deviation (MAD)7
Skewness0.0015498129
Sum3383
Variance111.1622276
MonotocityNot monotonic
2020-11-02T15:23:13.956355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
25108.4%
 
3075.9%
 
2365.0%
 
2765.0%
 
2054.2%
 
3754.2%
 
3154.2%
 
1143.4%
 
4143.4%
 
3943.4%
 
Other values (31)6352.9%
 
ValueCountFrequency (%) 
310.8%
 
410.8%
 
710.8%
 
921.7%
 
1010.8%
 
ValueCountFrequency (%) 
5910.8%
 
5110.8%
 
4932.5%
 
4610.8%
 
4410.8%
 

VIRTUAL_EVENT_ENGAGEMENT_COUNT
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
0
101 
1
15 
2
 
3
ValueCountFrequency (%) 
010184.9%
 
11512.6%
 
232.5%
 
2020-11-02T15:23:14.090902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ON_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size952.0 B
0
80 
1
37 
2
 
2
ValueCountFrequency (%) 
08067.2%
 
13731.1%
 
221.7%
 
2020-11-02T15:23:14.210700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MOST_RECENT_ON_CAMPUS_EVENT
Categorical

MISSING

Distinct7
Distinct (%)17.9%
Missing80
Missing (%)67.2%
Memory size952.0 B
Information Session & Campus Tour
31 
Explore CU Boulder
 
3
Engineer Your Future: Engineering Sampler
 
1
Women in Business Leadership Day
 
1
Ralphie's Group Visit
 
1
Other values (2)
 
2
ValueCountFrequency (%) 
Information Session & Campus Tour3126.1%
 
Explore CU Boulder32.5%
 
Engineer Your Future: Engineering Sampler10.8%
 
Women in Business Leadership Day10.8%
 
Ralphie's Group Visit10.8%
 
CU Boulder Virtual Meeting10.8%
 
Leeds School of Business Tour10.8%
 
(Missing)8067.2%
 
2020-11-02T15:23:14.333536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)12.8%

DATE_MOST_RECENT_ON_CAMPUS_EVENT
Date

MISSING

Distinct38
Distinct (%)97.4%
Missing80
Missing (%)67.2%
Memory size952.0 B
Minimum2018-06-15 13:30:00
Maximum2020-03-11 14:00:00
2020-11-02T15:23:14.447900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:23:14.570764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

OFF_CAMPUS_ENGAGEMENT_COUNT
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size952.0 B
0
104 
1
13 
3
 
1
2
 
1
ValueCountFrequency (%) 
010487.4%
 
11310.9%
 
310.8%
 
210.8%
 
2020-11-02T15:23:14.703982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)1.7%

DEPOSIT_PAID
Boolean

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
No
113 
Yes
 
6
ValueCountFrequency (%) 
No11395.0%
 
Yes65.0%
 

DEPOSIT_PAID_CREATED_DATE
Date

MISSING

Distinct81
Distinct (%)92.0%
Missing31
Missing (%)26.1%
Memory size952.0 B
Minimum2019-04-30 18:33:53
Maximum2020-09-02 17:04:00
2020-11-02T15:23:14.828787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-02T15:23:14.967901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

CURRENT_BIN_NAME
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size952.0 B
T - Future Cycle
118 
R - Admit
 
1
ValueCountFrequency (%) 
T - Future Cycle11899.2%
 
R - Admit10.8%
 
2020-11-02T15:23:15.099622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.8%

RELATION_LEGAL_GUARDIAN_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_LEGAL_GUARDIAN_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_SIBLING_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_SIBLING_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_SIBLING_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_STEP_PARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_STEP_PARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_GRANDPARENT_HIGHEST_EDUCATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_EMPLOYMENT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

RELATION_GRANDPARENT_RELATIONSHIP_CU_ATTENDANCE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_FEE_WAIVER___SCHOOL_SPECIFIC
Categorical

MISSING

Distinct3
Distinct (%)12.0%
Missing94
Missing (%)79.0%
Memory size952.0 B
Colorado Free Application Day (Colorado residents only)
23 
CU Boulder Legacy applicant (invitation only)
 
1
Active Duty or Veteran military personnel
 
1
ValueCountFrequency (%) 
Colorado Free Application Day (Colorado residents only)2319.3%
 
CU Boulder Legacy applicant (invitation only)10.8%
 
Active Duty or Veteran military personnel10.8%
 
(Missing)9479.0%
 
2020-11-02T15:23:15.213607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)8.0%

APPLICATION_ASSET_ELIGIBLE_WITH_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_ASSET_ELIGIBLE_WITHOUT_HIGH_SCHOOL_TRANSCRIPT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_SCHOOL_SPECIFIC_FEE_WAIVER__COMMON_APP_NON_FINANCIAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_YEARS_LIVED_IN_U_S
Categorical

MISSING

Distinct2
Distinct (%)14.3%
Missing105
Missing (%)88.2%
Memory size952.0 B
0
13 
<1
 
1
ValueCountFrequency (%) 
01310.9%
 
<110.8%
 
(Missing)10588.2%
 
2020-11-02T15:23:15.323325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)7.1%

PERSON_YEARS_LIVED_OUTSIDE_U_S
Categorical

MISSING

Distinct2
Distinct (%)2.1%
Missing23
Missing (%)19.3%
Memory size952.0 B
0
88 
<1
 
8
ValueCountFrequency (%) 
08873.9%
 
<186.7%
 
(Missing)2319.3%
 
2020-11-02T15:23:15.438806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

APPLICATION_ARTS___HUMANITIES_INSTATE_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_ARTS___HUMANITIES_OUT_OF_STATE_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_BAKER_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)14.3%
Missing112
Missing (%)94.1%
Memory size952.0 B
1
 
7
(Missing)
112 
ValueCountFrequency (%) 
175.9%
 
(Missing)11294.1%
 

APPLICATION_CHANCELLOR_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)9.1%
Missing108
Missing (%)90.8%
Memory size952.0 B
1
11 
(Missing)
108 
ValueCountFrequency (%) 
1119.2%
 
(Missing)10890.8%
 

APPLICATION_DEAN_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_HALE_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing118
Missing (%)99.2%
Memory size952.0 B
1
 
1
(Missing)
118 
ValueCountFrequency (%) 
110.8%
 
(Missing)11899.2%
 

APPLICATION_IMPACT_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_LEEDS_SCHOLAR_ADMIT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_LEEDS_SCHOLAR_APPLICANT
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_MUSIC_SCHOLARSHIP
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_PRESIDENTIAL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing116
Missing (%)97.5%
Memory size952.0 B
1
 
3
(Missing)
116 
ValueCountFrequency (%) 
132.5%
 
(Missing)11697.5%
 

APPLICATION_REGENT_SCHOLARSHIP
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing118
Missing (%)99.2%
Memory size952.0 B
1
 
1
(Missing)
118 
ValueCountFrequency (%) 
110.8%
 
(Missing)11899.2%
 

APPLICATION_SEWALL_SCHOLAR
Boolean

MISSING

Distinct1
Distinct (%)25.0%
Missing115
Missing (%)96.6%
Memory size952.0 B
1
 
4
(Missing)
115 
ValueCountFrequency (%) 
143.4%
 
(Missing)11596.6%
 

APPLICATION_EXCEL
Categorical

MISSING

Distinct1
Distinct (%)100.0%
Missing118
Missing (%)99.2%
Memory size952.0 B
Excel interview invite
1 
ValueCountFrequency (%) 
Excel interview invite10.8%
 
(Missing)11899.2%
 
2020-11-02T15:23:15.554891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)100.0%

PERSON_TUITION_CLASSIFICATION
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

APPLICATION_ADMITTED_FROM_WAITLIST
Boolean

MISSING

Distinct1
Distinct (%)33.3%
Missing116
Missing (%)97.5%
Memory size952.0 B
1
 
3
(Missing)
116 
ValueCountFrequency (%) 
132.5%
 
(Missing)11697.5%
 

PERSON_PRE_COLLEGIATE_BOULDER_SUMMER_STUDENTS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_PRE_COLLEGIATE_RURAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_PRE_COLLEGIATE_WESTERN_SLOPE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_PRE_COLLEGIATE_SYSTEM_STUDENTS
Boolean

MISSING

Distinct1
Distinct (%)100.0%
Missing118
Missing (%)99.2%
Memory size952.0 B
1
 
1
(Missing)
118 
ValueCountFrequency (%) 
110.8%
 
(Missing)11899.2%
 

PERSON_DANIEL_S_SCHOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

PERSON_ENGINEARME
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing119
Missing (%)100.0%
Memory size1.1 KiB

HS_CITY_LOCATION
Categorical

HIGH CARDINALITY
MISSING

Distinct61
Distinct (%)75.3%
Missing38
Missing (%)31.9%
Memory size952.0 B
Boulder
7 
Denver
 
5
Lafayette
 
3
Colorado Springs
 
3
Littleton
 
2
Other values (56)
61 
ValueCountFrequency (%) 
Boulder75.9%
 
Denver54.2%
 
Lafayette32.5%
 
Colorado Springs32.5%
 
Littleton21.7%
 
Vienna21.7%
 
Louisville21.7%
 
Fort Collins21.7%
 
Loveland21.7%
 
Greenwood Village21.7%
 
Other values (51)5142.9%
 
(Missing)3831.9%
 
2020-11-02T15:23:15.691845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique51 ?
Unique (%)63.0%

HS_TOT_ENROLLMENT
Real number (&Ropf≥0)

MISSING

Distinct76
Distinct (%)81.7%
Missing26
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean1569.333333
Minimum138
Maximum3720
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:15.839783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum138
5-th percentile330.2
Q11076
median1609
Q32091
95-th percentile2645.4
Maximum3720
Range3582
Interquartile range (IQR)1015

Descriptive statistics

Standard deviation775.42076
Coefficient of variation (CV)0.4941083857
Kurtosis-0.04125663638
Mean1569.333333
Median Absolute Deviation (MAD)522
Skewness0.2186768583
Sum145948
Variance601277.3551
MonotocityNot monotonic
2020-11-02T15:23:15.984490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
217965.0%
 
260343.4%
 
132332.5%
 
208121.7%
 
171221.7%
 
222521.7%
 
372021.7%
 
51721.7%
 
108721.7%
 
168421.7%
 
Other values (66)6655.5%
 
(Missing)2621.8%
 
ValueCountFrequency (%) 
13810.8%
 
15410.8%
 
16910.8%
 
25210.8%
 
27210.8%
 
ValueCountFrequency (%) 
372021.7%
 
315410.8%
 
283710.8%
 
270910.8%
 
260343.4%
 

HS_NCES_ID
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)82.8%
Missing26
Missing (%)21.8%
Memory size952.0 B
080249000114
 
6
080336000338
 
4
080249000107
 
3
00209159
 
2
080249001632
 
2
Other values (72)
76 
ValueCountFrequency (%) 
08024900011465.0%
 
08033600033843.4%
 
08024900010732.5%
 
0020915921.7%
 
08024900163221.7%
 
08054000093821.7%
 
51012600053221.7%
 
A910157421.7%
 
08029100018621.7%
 
08048000074710.8%
 
Other values (67)6756.3%
 
(Missing)2621.8%
 
2020-11-02T15:23:16.157377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique68 ?
Unique (%)73.1%

HS_NAME
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)82.8%
Missing26
Missing (%)21.8%
Memory size952.0 B
Fairview High School
 
6
East High School
 
4
Centaurus High School
 
3
Madison High
 
2
Alexander Dawson School
 
2
Other values (72)
76 
ValueCountFrequency (%) 
Fairview High School65.0%
 
East High School43.4%
 
Centaurus High School32.5%
 
Madison High21.7%
 
Alexander Dawson School21.7%
 
Monarch High School21.7%
 
Cherry Creek High School21.7%
 
Thompson Valley High School21.7%
 
Regis Jesuit High School21.7%
 
Hanover High School10.8%
 
Other values (67)6756.3%
 
(Missing)2621.8%
 
2020-11-02T15:23:16.326148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique68 ?
Unique (%)73.1%

HS_TYPE
Categorical

MISSING

Distinct1
Distinct (%)1.1%
Missing26
Missing (%)21.8%
Memory size952.0 B
1
93 
ValueCountFrequency (%) 
19378.2%
 
(Missing)2621.8%
 
2020-11-02T15:23:16.459064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_STATE
Categorical

MISSING

Distinct18
Distinct (%)22.2%
Missing38
Missing (%)31.9%
Memory size952.0 B
CO
41 
CA
8 
IL
5 
CT
 
3
VA
 
3
Other values (13)
21 
ValueCountFrequency (%) 
CO4134.5%
 
CA86.7%
 
IL54.2%
 
CT32.5%
 
VA32.5%
 
MA32.5%
 
TX32.5%
 
NH21.7%
 
WA21.7%
 
MD21.7%
 
Other values (8)97.6%
 
(Missing)3831.9%
 
2020-11-02T15:23:16.584088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique7 ?
Unique (%)8.6%

HS_TEACHERS_FTE
Real number (&Ropf≥0)

MISSING

Distinct59
Distinct (%)63.4%
Missing26
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean87.92473118
Minimum2
Maximum193
Zeros0
Zeros (%)0.0%
Memory size952.0 B
2020-11-02T15:23:16.726290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23.8
Q162
median88
Q3106
95-th percentile153.8
Maximum193
Range191
Interquartile range (IQR)44

Descriptive statistics

Standard deviation39.50047786
Coefficient of variation (CV)0.4492533253
Kurtosis0.08925011086
Mean87.92473118
Median Absolute Deviation (MAD)25
Skewness0.2988940795
Sum8177
Variance1560.287751
MonotocityNot monotonic
2020-11-02T15:23:16.878799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9775.9%
 
13043.4%
 
7643.4%
 
10132.5%
 
5432.5%
 
4521.7%
 
7021.7%
 
12921.7%
 
15321.7%
 
8921.7%
 
Other values (49)6252.1%
 
(Missing)2621.8%
 
ValueCountFrequency (%) 
210.8%
 
1410.8%
 
1621.7%
 
2210.8%
 
2510.8%
 
ValueCountFrequency (%) 
19310.8%
 
18121.7%
 
16210.8%
 
15510.8%
 
15321.7%
 

HS_URBAN_CENTRIC_LOCALE_CODE
Categorical

MISSING

Distinct12
Distinct (%)12.9%
Missing26
Missing (%)21.8%
Memory size952.0 B
21
32 
12
17 
11
14 
41
10 
13
6 
Other values (7)
14 
ValueCountFrequency (%) 
213226.9%
 
121714.3%
 
111411.8%
 
41108.4%
 
1365.0%
 
2332.5%
 
3332.5%
 
4221.7%
 
2221.7%
 
4321.7%
 
Other values (2)21.7%
 
(Missing)2621.8%
 
2020-11-02T15:23:17.035767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.2%

HS_ZIP
Categorical

HIGH CARDINALITY
MISSING

Distinct66
Distinct (%)81.5%
Missing38
Missing (%)31.9%
Memory size952.0 B
80305
 
6
80206
 
4
80026
 
3
80537
 
2
80111
 
2
Other values (61)
64 
ValueCountFrequency (%) 
8030565.0%
 
8020643.4%
 
8002632.5%
 
8053721.7%
 
8011121.7%
 
8012721.7%
 
2218121.7%
 
8002721.7%
 
2104410.8%
 
0375510.8%
 
Other values (56)5647.1%
 
(Missing)3831.9%
 
2020-11-02T15:23:17.183913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique58 ?
Unique (%)71.6%

HS_ADDRESS
Categorical

HIGH CARDINALITY
MISSING

Distinct67
Distinct (%)82.7%
Missing38
Missing (%)31.9%
Memory size952.0 B
1515 Greenbriar Boulevard
 
6
1600 City Park Esplanade
 
4
10300 South Boulder Road
 
3
329 Campus Drive
 
2
9300 East Union Avenue
 
2
Other values (62)
64 
ValueCountFrequency (%) 
1515 Greenbriar Boulevard65.0%
 
1600 City Park Esplanade43.4%
 
10300 South Boulder Road32.5%
 
329 Campus Drive21.7%
 
9300 East Union Avenue21.7%
 
1669 Eagle Drive21.7%
 
2500 James Madison Dr21.7%
 
11595 Allendale Drive10.8%
 
10235 Parkglenn Way10.8%
 
100 Chestnut St10.8%
 
Other values (57)5747.9%
 
(Missing)3831.9%
 
2020-11-02T15:23:17.351582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique60 ?
Unique (%)74.1%

HS_TYPE_VALUE
Categorical

MISSING

Distinct2
Distinct (%)2.2%
Missing26
Missing (%)21.8%
Memory size952.0 B
Regular School
80 
Regular Elementary Or Secondary
13 
ValueCountFrequency (%) 
Regular School8067.2%
 
Regular Elementary Or Secondary1310.9%
 
(Missing)2621.8%
 
2020-11-02T15:23:17.491872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CLASSIFICATION
Categorical

MISSING

Distinct2
Distinct (%)2.2%
Missing26
Missing (%)21.8%
Memory size952.0 B
Public
80 
Private
13 
ValueCountFrequency (%) 
Public8067.2%
 
Private1310.9%
 
(Missing)2621.8%
 
2020-11-02T15:23:17.609387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HS_CEEB
Categorical

HIGH CARDINALITY
MISSING

Distinct77
Distinct (%)82.8%
Missing26
Missing (%)21.8%
Memory size952.0 B
060118
 
6
060400
 
4
060865
 
3
060130
 
2
060952
 
2
Other values (72)
76 
ValueCountFrequency (%) 
06011865.0%
 
06040043.4%
 
06086532.5%
 
06013021.7%
 
06095221.7%
 
47227821.7%
 
06086721.7%
 
06051521.7%
 
06043521.7%
 
06092610.8%
 
Other values (67)6756.3%
 
(Missing)2621.8%
 
2020-11-02T15:23:17.755999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique68 ?
Unique (%)73.1%